About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:
DV Trading is seeking an experienced, high-performing trader to deploy and scale profitable strategies on a best-in-class proprietary platform. This role is designed for individuals with a demonstrated ability to generate alpha who are looking for greater autonomy, access to capital, and a high-performance environment without the constraints of traditional institutions.

The platform supports a wide range of experience levels—from highly established traders who operate independently end-to-end, to developing traders who may benefit from support in areas such as research, technology, or execution. Resources across quant research, engineering, and infrastructure are available to help accelerate strategy development and growth.

Job Responsibilities:

• Independently manage and scale a proprietary trading strategy
• Develop, refine, and optimize models, signals, and execution frameworks
• Take full ownership of risk, positioning, and P&L
• Leverage DV’s technology, infrastructure, and support to expand your book
• Collaborate with traders, quants, and engineers to enhance strategy performance

Requirements:

• Minimum 2+ years of experience at a proprietary trading firm, hedge fund, or bank
• Demonstrated, consistently profitable trading strategy (all asset classes considered)
• Proven track record of live performance (beyond backtesting)
• Strong return on capital (ROC)
• Experience contributing to or leading successful trading teams
• Ability to communicate effectively across functions, including leadership, risk, compliance, engineering, and legal

Benefits: 

• Discretionary bonus eligibility
• Medical, dental, and vision insurance
• HSA, FSA, and Dependent Care Options
• Employer Paid Group Term Life and AD&D insurance
• Voluntary LTD, Life & AD&D insurance
• Flexible Vacation policy
• Retirement plan with employer match

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

WP Cloud powers WordPress at scale, and security is a critical part of that foundation. We’re expanding our security team to support WP Cloud, while also contributing to the protection and intelligence provided by WPScan and Jetpack Protect. As a Security Researcher, you will analyze vulnerable and malicious code, track emerging threats, and help build the tools and processes that detect, prevent, and remediate malware and other security issues across the WordPress ecosystem. If you have a knack for solving puzzles and a passion for documenting and operationalizing solutions, this is a great opportunity to make a broad impact.

The Senior Security Engineer position might be a good fit if you:

• Enjoy securing and protecting websites and applications.
• Have at least 3 years of experience as a security researcher, or equivalent experience investigating vulnerabilities, malware, or other threats.
• Understand threat models, security threats, vulnerabilities, and common attack vectors such as XSS, injection, hijacking, social engineering, and so on, along with how to mitigate them.
• Have experience with PHP and some exposure to software engineering.
• Are highly collaborative, and love participating in code reviews and discussions about architecture or design.
• Have a strong ability to use AI tools effectively to accelerate your work, improve analysis, and enhance the quality of your solutions.
• Are open, and able, to travel 2-3 weeks per year to meet up with your teammates in person.

Extra Credit:

• Experience with penetration testing and associated tools.
• Previous experience with malware detection systems.
• Reported vulnerabilities in the past.
• Know your way around WordPress and its file and database structures.
• Have experience writing and debugging WordPress plugins and themes.

Speaking of interests and skills, here are some areas in which you can grow and have further impact in the future at the company:

• Leadership – we offer a variety of leadership options to those who have an interest, including becoming a team lead and managing releases.
• Learning and development – we have a generous personal development budget and encourage you to grow your skills through courses, books, and conferences.
• Architecture – we encourage developers to build expertise in the systems they work with, guide their evolution, and mentor other developers working on them.
• Engineering effectiveness – we believe in helping other developers become more effective through tools, practices, cross-team collaborations, and process 

Compensation and Benefits

Salary range: $70,000-$170,000 USD.  Please note that salary ranges are global, regardless of location, and we pay in local currency.

We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.

This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy. To see a full list of benefits by country, consult our Benefits Page. And check out these links to learn more about How We Hire and What We Expect from Ourselves. #LI-Remote

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

You are an ML Researcher who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets. You are able to consider the expected return on investment of different approaches, and more excited about using research to develop novel products, then research for research's sake.

Tech:

• You will have access to our massive GPU cluster for training and inference

• Some core technologies we use include Python, torch, diffusers, and the fal Python SDK

• You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs

• You have work published in ICCV, ICML, Neurips, CVPR

What we offer at fal

• Interesting and challenging work

• Competitive salary and equity

• A lot of learning and growth opportunities

• We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates.

• We offer visa sponsorship and will help you relocate to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsites

This is a future opportunity that may not be immediately available, but we're proactively building our pipeline of exceptional talent. At GitLab, we believe in connecting with outstanding professionals before we have an urgent need, allowing us to move quickly when the right moment arises. If you are excited about co-creating the future as we're building the most comprehensive AI-powered DevSecOps platform, we want to hear from you. We'll keep your information on file and reach out when a position becomes available that matches your skills and interests.

#LI-DNI

To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu.

To learn more about our Hiring Range System, please click this link.

Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. 

The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. 

About this team and role:

The Firefox User Research team champions human-centered exploration of complex problems, using evidence, data, and insight to drive decision-making. We use quantitative and qualitative research to understand business needs and uncover user insights that inform product and design strategy.

As a Staff Quantitative User Researcher, you’ll lead strategic and tactical quantitative studies, working with product managers, designers, engineers, data scientists, product marketers, and fellow researchers. You’ll apply quantitative methods to scientifically understand users’ experiences, needs, motivations, and behaviors at scale, translating those findings into clear, actionable insights that shape roadmaps and strategies.

What you’ll do:

• Own strategic, end-to-end quantitative research initiatives from scoping business needs and designing surveys to synthesizing data and communicating actionable recommendations to influence product decisions.
• Partner cross-functionally at a strategic level with product, design, engineering, data science, and marketing to develop a research roadmap, identify high-impact research opportunities, and align insights to business priorities.
• Champion user-centered decision-making by embedding quantitative research into product strategy, advocating for user needs, and influencing leaders across functions.
• Analyze and translate complex data sources (e.g., surveys, behavioral data, and market intelligence) to build cohesive, evidence-based perspectives on user experience and audience insights.
• Help elevate the quantitative research practice by mentoring peers, refining methods and tools, and scaling approaches that increase the visibility and impact of user insights across Firefox.

What you’ll bring: 

• 7+ years of experience in a user, product, or market research setting or similar, with a strong focus on quantitative research.
• Extensive experience leading survey research across the product development lifecycle, using quantitative insights to measure and influence product and business decisions.
• Deep expertise in empirical survey methods (e.g., planning, sampling, weighting, statistical analysis) and applications (e.g., product needs, audience understanding, tracking studies, concept testing, panel surveys, intercept surveys).
• Highly proficient in R for statistical programming and analyzing survey data. 
• Experience using SQL to integrate behavioral data with survey responses to tell a cohesive user-focused story.
• Demonstrated ability to craft compelling narratives using quantitative data and visualizations.
• Demonstrated success operating in fast-paced, agile environments, adapting to shifting priorities while maintaining research impact.
• Experience collaborating with qualitative researchers to enable mixed methods research designs and roadmaps. Hands-on qualitative research experience is a bonus.
• Strong judgment in balancing research depth and speed, delivering insights that are both actionable and impactful for product and business decisions.
• Collaborative and influential communicator, skilled at building partnerships with cross-functional teams and driving alignment through evidence-based insights.
• Commitment to our values:
• Welcoming differences
• Being relationship-minded
• Practicing responsible participation
• Having grit

What you’ll get:

• Generous performance-based bonus plans to all eligible employees - we share in our success as one team
• Rich medical, dental, and vision coverage
• Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
• Quarterly all-company wellness days where everyone takes a pause together
• Country specific holidays plus a day off for your birthday
• One-time home office stipend
• Annual professional development budget
• Quarterly well-being stipend
• Considerable paid parental leave
• Employee referral bonus program
• Other benefits (life/AD&D, disability, EAP, etc. - varies by country)

About Mozilla 

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: C

#LI-DNI

Req ID: R3054

We are looking for a highly motivated and results-driven Head of Data to join our team full-time. In this strategic role, you will shape the vision, architecture, and delivery frameworks for Data Engineering, Data Science, Quant, and Data Analytics, unifying these teams into a single, high-impact function. This is a key leadership position, guiding both technical and managerial directions for our data organization.

We drive fintech innovation through deep analytical expertise and a data-first, engineering-driven approach.

Key Responsibilities

Data & Quant Leadership

• Define and lead the strategy across Data Engineering, Data Science, Quant, and Data Analytics, focusing on high business impact
• Build and manage cross-functional teams, including quants, data scientists, engineers, and analysts
• Drive advanced analytics, ML strategy, feature engineering, and model development with a focus on responsible AI
• Collaborate with stakeholders to turn complex business challenges into data-driven solutions

Data Engineering Leadership

• Design and evolve a scalable, reliable, and maintainable data platform architecture
• Oversee development of robust ETL/ELT pipelines and real-time data streams
• Establish engineering best practices: code reviews, CI/CD, data contracts, observability
• Drive technology selection and resource planning for ClickHouse, Spark, and supporting infrastructure
• Ensure data quality through monitoring, alerting, SLA ownership, and remediation processes

People & Cross-Functional Leadership

• Communicate effectively across technical and non-technical teams to influence decisions
• Lead cross-team processes (e.g., grooming, design reviews, retrospectives)
• Mentor team members, create growth plans, and foster a culture of psychological safety, accountability, and innovation

AI & LLM Strategy

• Define and drive GenAI and LLM strategy: identify high-value use cases, evaluate model providers (OpenAI, Anthropic, open-source), and lead end-to-end implementation
• Architect and oversee LLM-powered products: RAG pipelines, AI agents, and intelligent automation workflows integrated into core business processes
• Lead adoption of agentic AI frameworks (LangChain, LlamaIndex, AutoGen) to build autonomous multi-step reasoning systems
• Establish MLOps and LLMOps best practices: model versioning, evaluation frameworks, prompt management, and monitoring for drift and hallucinations
• Drive responsible AI governance: bias detection, explainability (SHAP, LIME), fairness auditing, and compliance with emerging AI regulations
• Champion AI-assisted development workflows (GitHub Copilot, Cursor) and foster an AI-augmented engineering culture across data teams
• Evaluate and integrate vector databases (Pinecone, Weaviate, pgvector) and embedding strategies to power semantic search and knowledge retrieval
• Collaborate with product and engineering to productionize AI features with robust feedback loops, A/B testing, and continuous model improvement

Requirements

• 7+ years of hands-on experience across Data Science, Quant, Data Engineering, delivering end-to-end solutions
• 3+ years of managerial experience, leading data teams including quants and data scientists
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field
• Strong programming skills in Python, with experience writing clean, production-grade code
• Solid understanding of software engineering best practices (CI/CD, testing, code reviews, clean architecture)
• Practical experience with ML libraries and platforms (e.g., scikit-learn, XGBoost, PySpark)
• Deep understanding of core ML algorithms: regression, gradient boosting, time series, etc.
• Strong foundation in mathematical statistics, probability theory, and quantitative modeling
• Hands-on experience with LLMs, prompt engineering, and building production-grade AI systems (RAG, agents, fine-tuning)
• Familiarity with LLMOps tooling: experiment tracking (MLflow, W&B), vector stores, evaluation frameworks (RAGAS, DeepEval)
• Proficient in SQL and experience with analytical and OLAP databases
• English Upper-Intermediate

Nice to Have

• Experience with ClickHouse or other OLAP databases
• Background in trading or fintech
• Experience analyzing and modeling time series or high-frequency data
• Familiarity with anti-fraud systems, risk modeling, or portfolio analytics

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays according to current legislation
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

Summary

The Wikimedia Foundation is looking for an experienced mixed-method UX researcher (3-month contract) to extend our capabilities for doing qualitative and quantitative research to understand the experiences and needs of the humans who use and contribute to Wikipedia and the Wikimedia projects. As part of the Research group, the UX Research team leads UX research with the goal to improve user experiences and increase global usage.

Reporting to the Manager, UX Research and working directly with another researcher on the team who will assist in scoping project work and with research operations as needed, you will be responsible for leading the execution of high-quality research that results in actionable insights that inform decisions toward our organizational objectives. The work for this role is expected to be primarily quantitative but may also include some qualitative research projects or components. Examples of the sort of quantitative and mixed-methods UX research projects we’ve done recently are a survey-based experimental study of attribution signals (learn more) and a mixed-method study to understand Wikipedia readers’ use cases (learn more).

This is a contract position to cover a staff leave. This role is part-time, with an expected average of 30 hours per week.

Candidates must be available for critical meetings and synchronous work between 15:00 to 19:00 UTC. Availability to work outside of your local business hours may be needed at times during the data collection phase of studies or for occasional meetings with key stakeholders.

You are responsible for:

• Coordinating work with the point of contact in the UX Research team, the rest of the team, and stakeholders to drive and support research projects.
• Supporting the UX Research point of contact in scoping projects as requested (e.g., to determine project goals, methodologies, logistics, and timelines).
• Developing an understanding of the product, its context, and the research objectives.
• Coordinating with UX Research point of contact to manage and execute all phases of the research process, including creating materials, coordinating research operations, overseeing participant recruitment/survey distribution, scheduling and running research sessions (using interpretation support when appropriate) or data collection, and doing analysis and report-writing.
• Delivering comprehensive research results, translating findings into actionable insights that can inform product and decisions.
• Communicating research findings and recommendations to stakeholders in clear and compelling ways.

Skills and Experience:

• 5+ years of experience as a UX Researcher
• Expertise leading projects end-to-end using quantitative research methodologies, e.g. surveys, large-scale unmoderated testing, large-scale diary studies, quantitative UX benchmarking studies; expertise with statistical analysis, data visualization
• Experience with leading projects end-to-end using qualitative research methodologies, e.g. interviews, contextual inquiry, diary studies
• Outstanding written and verbal communication skills
• Experience leading research projects from start to finish (solo and in collaboration with others)
• Experience working collaboratively with product teams to translate insights into actionable recommendations

Qualities that are important to us:

• Strong time-management skills
• Self sufficiency and ability to resolve what blocks your work or escalate

Ability to organize and prioritize multiple priorities and deadlines and work collaboratively, as well as independently, to deliver results

Additionally, we’d love it if you have:

• Fluency in languages other than English
• Experience working with volunteer or open source communities and projects
• Experience editing Wikipedia or contributing to other wiki projects

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated hourly rate range of this position for applicants based within the United States is US$45/hour to US$55/hour with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

Summary

The Wikimedia Foundation is looking for an experienced mixed-method UX researcher (3-month contract) to extend our capabilities for doing qualitative and quantitative research to understand the experiences and needs of the humans who use and contribute to Wikipedia and the Wikimedia projects. As part of the Research group, the UX Research team leads UX research with the goal to improve user experiences and increase global usage.

Reporting to the Manager, UX Research and working directly with another researcher on the team who will assist in scoping project work and with research operations as needed, you will be responsible for leading the execution of high-quality research that results in actionable insights that inform decisions toward our organizational objectives. The work for this role is expected to be primarily quantitative but may also include some qualitative research projects or components. Examples of the sort of quantitative and mixed-methods UX research projects we’ve done recently are a survey-based experimental study of attribution signals (learn more) and a mixed-method study to understand Wikipedia readers’ use cases (learn more).

This is a contract position to cover a staff leave. This role is part-time, with an expected average of 30 hours per week.

Candidates must be available for critical meetings and synchronous work between 15:00 to 19:00 UTC. Availability to work outside of your local business hours may be needed at times during the data collection phase of studies or for occasional meetings with key stakeholders.

You are responsible for:

• Coordinating work with the point of contact in the UX Research team, the rest of the team, and stakeholders to drive and support research projects.
• Supporting the UX Research point of contact in scoping projects as requested (e.g., to determine project goals, methodologies, logistics, and timelines).
• Developing an understanding of the product, its context, and the research objectives.
• Coordinating with UX Research point of contact to manage and execute all phases of the research process, including creating materials, coordinating research operations, overseeing participant recruitment/survey distribution, scheduling and running research sessions (using interpretation support when appropriate) or data collection, and doing analysis and report-writing.
• Delivering comprehensive research results, translating findings into actionable insights that can inform product and decisions.
• Communicating research findings and recommendations to stakeholders in clear and compelling ways.

Skills and Experience:

• 5+ years of experience as a UX Researcher
• Expertise leading projects end-to-end using quantitative research methodologies, e.g. surveys, large-scale unmoderated testing, large-scale diary studies, quantitative UX benchmarking studies; expertise with statistical analysis, data visualization
• Experience with leading projects end-to-end using qualitative research methodologies, e.g. interviews, contextual inquiry, diary studies
• Outstanding written and verbal communication skills
• Experience leading research projects from start to finish (solo and in collaboration with others)
• Experience working collaboratively with product teams to translate insights into actionable recommendations

Qualities that are important to us:

• Strong time-management skills
• Self sufficiency and ability to resolve what blocks your work or escalate

Ability to organize and prioritize multiple priorities and deadlines and work collaboratively, as well as independently, to deliver results

Additionally, we’d love it if you have:

• Fluency in languages other than English
• Experience working with volunteer or open source communities and projects
• Experience editing Wikipedia or contributing to other wiki projects

About the Wikimedia Foundation

The Wikimedia Foundation is the nonprofit organization that operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge freely. We host Wikipedia and the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. 

The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive donations from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

As an equal opportunity employer, the Wikimedia Foundation values having a diverse workforce and continuously strives to maintain an inclusive and equitable workplace. We encourage people with a diverse range of backgrounds to apply. We do not discriminate against any person based upon their race, traits historically associated with race, religion, color, national origin, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, or any other legally protected characteristics.

The Wikimedia Foundation is a remote-first organization with staff members including contractors based 40+ countries*. Salaries at the Wikimedia Foundation are set in a way that is competitive, equitable, and consistent with our values and culture. The anticipated hourly rate range of this position for applicants based within the United States is US$45/hour to US$55/hour with multiple individualized factors, including cost of living in the location, being the determinants of the offered pay. For applicants located outside of the US, the pay range will be adjusted to the country of hire. We neither ask for nor take into consideration the salary history of applicants. The compensation for a successful applicant will be based on their skills, experience and location.

*Please note that we are currently able to hire in the following:
US States: Arizona, California, Colorado, Connecticut, District of Columbia*, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico*, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin and Wyoming (*US Territory or Federal District)

Countries: Brazil, Canada, Colombia, France, Germany, Ghana, India, Indonesia, Italy, Kenya*, Mexico, Morocco, Netherlands, Poland, Singapore*, South Africa, Spain, Switzerland and the United Kingdom. Our non-US employees are hired through a local third party Employer of Record (EOR) and must have current work authorization in their location. (*citizens/permanent residents only)

We periodically review this list to streamline to ensure alignment with our hiring requirements.

All applicants can reach out to their recruiter to understand more about the specific pay range for their location during the interview process.

If you are a qualified applicant requiring assistance or an accommodation to complete any step of the application process due to a disability, you may contact us at recruiting@wikimedia.org or +1 (415) 839-6885.

More information

Applicant Privacy Policy

Wikimedia Foundation

What does the Wikimedia Foundation do?

What makes Wikipedia different from social media platforms?

Our Projects

Our Tech Stack

News from across the Wikimedia movement

Wikimedia Blog

Wikimedia 2030

AI Trainer - Arabic Fluency (Egypt)

About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. 

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We are seeking fluent Arabic (Egypt) speakers to participate in a high-impact AI training initiative. Unlike standard data entry, this role focuses on live human-to-human connection.

You’ll be paired with another participant to engage in natural, flowing conversations, which will help train the next generation of conversational AI. This is a short-term "sprint" project with high availability requirements.

Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you’ll bring

• Native/ Advanced fluency: Verifiable experience and birth-country for the Egypt region. 
• Technical readiness: A willingness to complete a paid TestGorilla language assessment and a dialect verification check. 
• Availability: Ability to commit to 30-60 minute blocks of uninterrupted conversation during the 3-week project window. 
• Tool: A reliable internet connection, a quiet environment for calls, and a PayPal account for payment. 

What you’ll be doing in the role 

• Live pairings: You will be matched with another participant for 1-on-1 verbal or text-based exchanges. 
• Dialect authenticity: Use your natural Egyptian Arabic dialect to discuss various topics provided by the researcher. 
• Collaborative learning: Help the AI understand the nuances, slang and cultural context of Egyptian Arabic through real-world interaction. 

Why Prolific is a great platform to join as a Domain Expert participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. 

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity.

Links to more information on Prolific

Website 

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Location: Remote

Duration: 2–4 months (project-based)

Type: Contract / Research Collaboration (Paid)

About the Project

We are looking for a Master’s or PhD student to work on fine-tuning large language models (LLMs) for domain-specific tasks. The goal is to take an existing pretrained model (e.g., Meta AI’s LLaMA-class models or similar) and specialize it for a narrow, high-value use case using efficient fine-tuning techniques.

This is a hands-on applied project designed for someone who wants real-world experience deploying and optimising LLM systems.

Help drive the next wave of applied AI by demonstrating how fine-tuned LLMs can unlock advanced, real-world use cases beyond general-purpose foundation models. Organizations that require domain-specific accuracy, self-hosted deployments, customisable workflows, or performance beyond out-of-the-box capabilities increasingly rely on fine-tuned models to meet those needs.

Through this project, you will contribute to building specialised AI systems that deliver improved accuracy, efficiency, and control compared to out-of-the-box models. You will also help bridge the gap between academic knowledge and real-world application by applying fine-tuning techniques to solve concrete business problems.

What You’ll Work On

• Fine-tuning pre-trained LLMs on small to medium datasets (500–20k examples)
• Implementing parameter-efficient fine-tuning (e.g., LoRA-style methods)
• Optimising training for cost and performance
• Running experiments on GPU cloud infrastructure
• Evaluating model performance and tradeoffs (specialisation vs generalisation)
• Deploying fine-tuned models for inference

Experience

• Strong Python skills
• Experience with deep learning frameworks: PyTorch (preferred) or TensorFlow
• Experience with Hugging Face Transformers or similar ecosystems
• Hands-on experience training or fine-tuning transformer models on GPUs (local or cloud-based)
• Previous experience using cloud platforms for model training or deployment (e.g., AWS, GCP, Azure, RunPod or similar GPU providers)
• Experience working with or fine-tuning open-weight LLM families (Gemma-3, Qwen-3.5, Llama 4, GPT-OSS, Mistral...)
• Hands-on experience with LoRA

Understanding of:

• Fine-tuning vs pretraining
• Overfitting and generalization
• Model evaluation
• Strong business awareness: ability to understand the context of the fine-tuning task and translate domain requirements into clear modeling objectives

What you bring

• MSc or PhD student in Computer Science, Machine Learning, AI, or related field
• Alternatively, 6 months of hands-on experience training and fine-tuning deep learning models
• Has worked on LLMs in research or industry
• Has fine-tuned at least one transformer model
• Comfortable working independently
• Interested in applied AI and real-world constraints (cost, latency, memory)

What You’ll Gain

• Real-world experience fine-tuning large models (30B–100B parameter class)
• Exposure to production constraints and deployment
• Opportunity to co-author technical writeups if applicable
• Strong applied portfolio project

What We Offer

• 100% Remote Work: Work from anywhere with flexibility and autonomy 
• Dynamic, High-Impact Projects: Work on cutting-edge ML and GenAI solutions across diverse industries
• International Clients: Collaborate with global organizations and solve real-world challenges at scale
• Urban Sports Club Membership: Supporting your physical and mental wellbeing
• Monthly Bolt Credits: For rides
• Company Events & Offsites: Regular team gatherings to connect, collaborate, and celebrate

About FirstPrinciples:
FirstPrinciples is a non-profit organization building an autonomous AI Physicist to understand the nature of reality: the underlying structure, governing principles, and fundamental laws of our universe. We're developing an intelligent system that can explore theoretical frameworks, reason across disciplines, and generate novel insights to tackle the deepest unsolved problems in physics. By combining AI, symbolic reasoning, and autonomous research capabilities, we're developing a platform that goes beyond analyzing existing knowledge to actively contribute to physics research. Our goal is to accelerate progress on the questions that have captivated humanity for centuries.

We operate as a global nonprofit organization, with a Canadian foundation, a US-based 501(c)(3).

Job Description:
We are looking for a Member of Technical Staff, Staff Physicist to help build an AI Physicist at the frontier of Quantum Information and AI. You will bring expertise in quantum information theory to help with training, evaluation methods, and set research direction for a rapidly evolving scientific system. This is a researcher role at the intersection of AI and physics: you will help invent new benchmarks, metrics, and evaluation methodologies for what it means to do high-quality research in Quantum Information with AI in the loop. You will work closely with research and engineering teams, and your contributions will flow straight into production model improvements and publishable outcomes.

Key Responsibilities:

Scientific Critique and Research Guidance:

• Review and critique model reasoning in quantum information and adjacent theory (eg; quantum error correction, cryptography, algorithms, etc).
• Identify subtle conceptual errors, missing assumptions, invalid proof steps, and “sounds right” failures.
• Provide clear corrections, alternative derivations, and minimal counterexamples that teach the system what good physics looks like.
• Translate domain judgment into actionable research recommendations for model behavior, reasoning style, and tool use.
• Create gold-standard demonstrations and reference solutions suitable for training and fine-tuning.
• Provide structured preferences and rankings over candidate model outputs to improve scientific reasoning quality using expert feedback loops.

Collaborators Program and Cross Functional Coordination:

• Work to help us build our Collaborators program, an external group of expert peers acting like a set of reviewers.
• Coordinate review cycles and incorporate collaborator feedback into training priorities, benchmark design, and evaluation criteria.
• Align external reviewer standards with internal research goals and engineering constraints, ensuring fast iteration while maintaining scientific defensibility.
• Communicate progress and open questions clearly across collaborators, research, and engineering.

Research Output and Publication:

• Help drive the system to produce outputs you would be proud to put your name on.
• Contribute to open-science artifacts where appropriate (benchmarks, datasets, technical reports, preprints).

Qualifications:

• Educational Background: PhD in Physics, Quantum Information, Theoretical CS, or closely related field, plus postdoctoral-level research maturity.
• Experience: Demonstrated ability to do research-grade reasoning in quantum information and to critique proofs, derivations, and scientific arguments with rigor. Experience contributing to evaluation methodology, benchmarking, or systematic error analysis in research settings is strongly valued.
• Technical Skills:   
  • Deep fluency in core quantum information topics (Quantum algorithms, gate quantum computer, annealing quantum computers, quantum error correction, foundation of quantum physics, quantum information theory, quantum field theory).
  • Strong mathematical foundations (linear algebra, probability, optimization, information-theoretic reasoning, differential equations, group theory, Lie Algebras, Hamiltonian and Lagrangian dynamics).
  • Scientific programming skills in Python plus standard research tooling (Git, LaTeX).
  • Working familiarity with modern ML training workflows and how expert feedback can be operationalized to improve model behavior.
• Collaboration & Communication:
  • Comfort working closely with engineers and researchers in a fast-moving, cross-functional environment.
  • Strong written communication, especially the ability to write precise critiques, crisp guidance, and benchmark specs that others can implement.
  • Ability to coordinate external reviewers and internal teams toward a shared standard of scientific quality.
• Mindset: Entrepreneurial & mission-driven, comfortable in a fast-growing, startup-style environment, and motivated by the ambition of tackling one of the greatest scientific challenges in history.

Bonus Skills:

• Experience at the intersection of quantum and machine learning.
• Familiarity with preference modeling, reward modeling, or building evaluation datasets for frontier models.
• Comfort with PyTorch and JAX or similar, and quantum tooling such as Qiskit, PennyLane, or Cirq.
• Publication record in high-impact physics journals.
  

Application Process:

• Interested candidates are invited to submit their resume, a cover letter detailing their qualifications and vision for the role, and references. Please include "Member of Technical Staff, Staff Physicist, Quantum Information and AI" in the cover letter.

Join us at FirstPrinciples and be a part of a transformative journey where science drives progress and unlocks the potential of humanity.

Multimodal Generative AI Researcher

Location: Remote 

About the Role

We’re looking for a Research Scientist with deep expertise in training and fine-tuning large Vision-Language and Language Models (VLMs / LLMs) for downstream multimodal tasks. You’ll help push the next frontier of models that reason across vision, language, and 3D, bridging research breakthroughs with scalable engineering.

What You’ll Do

• Design and fine-tune large-scale VLMs / LLMs — and hybrid architectures — for tasks such as visual reasoning, retrieval, 3D understanding, and embodied interaction.
• Build robust, efficient training and evaluation pipelines (data curation, distributed training, mixed precision, scalable fine-tuning).
• Conduct in-depth analysis of model performance: ablations, bias / robustness checks, and generalisation studies.
• Collaborate across research, engineering, and 3D / graphics teams to bring models from prototype to production.
• Publish impactful research and help establish best practices for multimodal model adaptation.

What You Bring

• PhD (or equivalent experience) in Machine Learning, Computer Vision, NLP, Robotics, or Computer Graphics.
• Proven track record in fine-tuning or training large-scale VLMs / LLMs for real-world downstream tasks.
• Strong engineering mindset — you can design, debug, and scale training systems end-to-end.
• Deep understanding of multimodal alignment and representation learning (vision–language fusion, CLIP-style pre-training, retrieval-augmented generation).
• Familiarity with recent trends, including video-language and long-context VLMs, spatio-temporal grounding, agentic multimodal reasoning, and Mixture-of-Experts (MoE) fine-tuning.
• Awareness of 3D-aware multimodal models — using NeRFs, Gaussian splatting, or differentiable renderers for grounded reasoning and 3D scene understanding.
• Hands-on experience with PyTorch / DeepSpeed / Ray and distributed or mixed-precision training.
• Excellent communication skills and a collaborative mindset.

Bonus / Preferred

• Experience integrating 3D and graphics pipelines into training workflows (e.g., mesh or point-cloud encoding, differentiable rendering, 3D VLMs).
• Research or implementation experience with vision-language-action models, world-model-style architectures, or multimodal agents that perceive and act.
• Familiarity with efficient adaptation methods — LoRA, adapters, QLoRA, parameter-efficient finetuning, and distillation for edge deployment.
• Knowledge of video and 4D generation trends, latent diffusion / rectified flow methods, or multimodal retrieval and reasoning pipelines.
• Background in GPU optimisation, quantisation, or model compression for real-time inference.
• Open-source or publication track record in top-tier ML / CV / NLP venues.

Equal Employment Opportunity:

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.