Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

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Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Project Overview

We are seeking independent Product Matching Specialists and data experts to provide their expertise for an e-commerce platform enrichment project. As digital storefronts and influencer platforms evolve, their usability depends entirely on high-quality product matching and accurate categorization. Quality is our top priority. The objective of this project is to evaluate digital content, accurately match new products to existing ones, and create new product entries when needed to ensure the highest standards of data integrity.

Project Deliverables & Scope

Operate autonomously to process digital content and provide structured data tagging. Expected deliverables include:

• Product Data Enrichment: Accurately matching, creating, or dismissing product "pins" on the platform based on provided project guidelines.
• Quality Assurance Auditing: Reviewing and updating digital product content to ensure it strictly meets standards for accuracy, clarity, and relevance.
• Edge Case Documentation: Proactively identifying, documenting, and flagging data inconsistencies, anomalies, or edge cases within the platform's ecosystem.
• Taxonomy & Logic Feedback: Providing structured suggestions and expert feedback to improve the platform's overall tagging logic, taxonomy, and data labeling workflows.

Required Expertise & Background

To successfully fulfill the deliverables of this project, Contractors must possess sharp attention to detail and a quality-first mindset (catching what others miss).

Core competencies and requirements include:

• Demonstrable speed and accuracy with data entry, product tagging, or content moderation.
• Comfort and proficiency working with digital content, specifically evaluating and matching complex product images.
• The ability to independently follow complex guidelines and apply nuanced judgment to ambiguous digital storefront content.
• Proactive communication skills to accurately flag issues, document errors, and ask clarifying questions regarding edge cases.
• Preferred Experience: Familiarity with e-commerce platforms, consumer products, 
• influencer content, or a background in Quality Assurance (QA) and data labeling.

Service Fees

This project utilizes a piece-rate billing structure aligned with completed deliverables: $0.15 for a created pin, $0.10 per matched pin, and $0.02 for a dismissed pin. Depending on the contractor's workflow and efficiency, this yields an estimated average of ~$5.00 per hour.As an independent contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Engagement Type: Freelance / Independent Contractor 

Workplace Type: Remote

About the Role:

We are seeking an experienced Senior Data QA Engineer to lead the design and implementation of comprehensive data quality testing strategies for our data platforms and pipelines. In this role, you will be responsible for ensuring data integrity, accuracy, and reliability across our data ecosystem through advanced testing methodologies and automation frameworks.

Your day to day:

• Design and implement end-to-end data quality testing strategies for data pipelines, ETL/ELT processes, and data warehouses
• Develop automated data validation frameworks to verify data accuracy, completeness, and consistency
• Create and maintain data quality metrics, monitor dashboards, and alert mechanisms
• Perform complex SQL queries to validate data transformations and business logic
• Design test cases for data ingestion, processing, and consumption layers
• Collaborate with data engineers, data scientists, and analysts to understand data requirements and quality standards
• Lead root cause analysis for data quality issues and implement preventive measures
• Mentor junior QA engineers and establish data testing best practices

What We're Looking For:

• Bachelor’s or master’s degree in computer science, Business Administration, or comparable professional experience
• Minimum 5 years of data quality assurance expertise within healthcare technology companies or health insurance organizations
• Proficient in complex data transformation and manipulation techniques
• Advanced SQL expertise with proven experience in data integration and validation
• Comprehensive understanding of ETL/ELT workflows and quality assurance methodologies for data processing validation
• In-depth expertise in data pipeline architecture and implementing quality control frameworks
• Practical experience with Spark SQL for distributed data processing
• Extensive knowledge of healthcare data domains including member enrollment, medical claims processing, and prescription drug claims; familiarity with emerging data sources (wellness programs, productivity metrics, and electronic medical records) is advantageous
• Outstanding verbal and written communication abilities with demonstrated success in managing multiple priorities and delivering on tight timelines
• Exceptional collaborative and relationship-building capabilities
• Self-directed professional who excels both as an individual contributor and team player, with proven mentoring experience
• Hands-on experience with scripting languages, particularly Python and Java
• Comprehensive expertise in AWS cloud services including S3, EC2, Systems Manager, Athena, and Databricks platform
• Thorough understanding of software testing methodologies, debugging techniques, and quality assurance protocols

Nice to Have:

• Experience with Big Data, Snowflake, and ETL test automation
• Hands‑on API testing experience
• Healthcare domain knowledge, including HEDIS quality measures
• Machine Learning and Artificial Intelligence concepts with practical application experience in production environments
• Proficiency in testing automation frameworks and database technologies

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Working Arrangements

• Standard hours: 9 hours/day, 5 working days
• Location: Onsite
• Shift: 10 AM – 7 PM local time