FOR IGBO WRITING EXPERTS ONLY

Are you interested in helping to train AI models to become better writers?

How it works:

• We have several open projects where we are looking for talented writers to help train generative artificial intelligence models to become better writers.
• You can work on all of our projects remotely. Hours are flexible, so you can work whenever is best for you.
• Your earnings from ongoing projects are sent out weekly.

You Will: 

• Work on various writing in Igbo projects to train generative AI models.
• Some examples of projects you might work on: 
• Rank a series of responses that were produced by an AI model.
• Based on a given topic, write a short story about that topic.
• Assess whether a piece of text produced by an AI model is factually accurate or not.

Preferred Qualifications: 

These are not must-have qualifications! You should apply if you meet any of these (or anything similar you think makes you a good fit).

• Professional Translator
• Enrollment or completion of an undergraduate program in a humanities field or field related to writing
• Enrollment or completion in a graduate program related to creative writing
• Experience writing professionally (copywriter, journalist, technical writer, editor, etc.)

Earnings & Duration:

• Base Pay Rate: up to $17 per hour
• Location: Remote (Globally) - please note that hourly rates vary by country
• PREFERRED: In United States
• Duration: Variable depending on project length, flexible hours

This opportunity involves contracting for a Scale affiliate: Smart Ecosystem, Inc.

About Moniepoint

Everyone has a dream, and achieving that is key to their happiness. Moniepoint Inc is on a mission to provide financial happiness for people of the world by powering the dreams of businesses, their employees and customers. Since 2015, we have grown to 1500 employees and process over $100 billion annually for 1.8 million merchants through our all-in-one digital financial services platform. Moniepoint Inc through its subsidiaries which include Moniepoint MFB and TeamApt ltd offers payments, banking, credit and business management tools. We currently process the majority of the POS transactions in Nigeria and are Africa’s second-fastest-growing fintech.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

About the role

At Moniepoint, data is the lifeblood of our financial operating system. The Head of Data Governance is a senior leadership role responsible for ensuring that this lifeblood is high-quality, secure, and accessible. You will architect and champion the enterprise-wide data governance framework, transforming how 13 million+ people’s data is managed and protected.
Reporting to the Head of Enterprise Data, you aren't just a policy writer; you are a cultural catalyst. You will lead a "virtual team" of Data Stewards across the company, ensuring that while they sit within diverse units like Finance or Sales, they operate with a unified, gold-standard approach to data accountability.

About You

The Architect: You don't just see data; you see the structures that make it reliable. You enjoy building blueprints that balance strict compliance with the speed required by a fast-growing fintech.
The Influencer: You excel in a "Hub and Spoke" model. You can lead and inspire teams that don’t report to you directly, turning departmental data stewards into a cohesive community.
The Tech-Fluent Leader: You speak "Engineering" as well as you speak "Business." You understand how to automate governance so it becomes a feature of the workflow, not a bottleneck.
Ethical Guardian: You are passionate about data privacy (GDPR/NDPR) and believe that responsible data management is a competitive advantage, not just a regulatory chore.

What you will get to do:

1. Strategic Leadership & Framework Design

• Governance Roadmap: Develop and execute a long-term strategy that aligns with Moniepoint’s mission to build the financial OS for emerging markets.
• Policy & Standards: Author and maintain global policies (Privacy, Retention, Naming Conventions) that are clear, actionable, and "Regular Guy" friendly.
• Operating Model: Define our domain-driven structure and clarify data ownership across the company to eliminate ambiguity.

2. Functional Leadership of the Stewardship Team

• Orchestration: Direct the strategic priorities of Business Unit Data Stewards, ensuring they have the tools and training to succeed.
• Community Building: Create a "Data Governance Academy" to onboard, certify, and mentor stewards across the organization.
• KPI Alignment: Set the functional goals that define what "good" looks like for data quality within each business unit.

3. Tech Stack & Automation Ownership

• Platform Strategy: Select and manage our governance platforms (e.g., Atlan, Collibra, or Microsoft Purview), ensuring they integrate seamlessly with our data lake.
• Metamodel Design: Configure tools to link business terms to physical technical assets, creating a transparent data lineage.
• Governance-as-Code: Partner with Data Engineering to automate quality checks and PII masking within the CI/CD pipeline.

4. Risk, Compliance & Culture

• Enterprise DQ Reporting: Build "Data Health Dashboards" for the Executive team to provide visibility into our data reliability.
• Change Management: Lead the cultural shift from "data is IT’s problem" to "data is a strategic business asset."
• Literacy Programs: Develop workshops to empower non-technical staff to read, interpret, and respect data.

Qualifications:

• Experience: 9+ years of leadership experience in Data Governance, Data Engineering, or Data Strategy within a high-growth environment.
• Technical Proficiency: Advanced SQL and Python skills are essential. You should be comfortable auditing a data platform directly and working with APIs for automation.
• Framework Expertise: Deep knowledge of modern data architectures (Data Mesh, Data Vault 2.0) and how to apply governance within them.
• Regulatory Knowledge: Intimate familiarity with NDPR, GDPR, and fintech-specific data regulations.
• Education: A Bachelor degree in Computer Science, Engineering, Mathematics, or a related quantitative field (or equivalent practical experience).

What Success Looks Like

• Initial 6 Months: A defined Data Governance roadmap is approved, and the first "Data Health Dashboard" is live for critical data elements.
• The 1-Year Mark: Every major business unit has a certified Data Steward, and automated lineage is active for our core financial products.
• Culture: Data Governance is no longer viewed as a "blocker" but as the foundation that allows our product teams to build faster and safer.
  

What we can offer you

• Culture - We put our people first and prioritise the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary phone call with the recruiter
• A technical panel interview with Department Leads
• Technical take-home assessment
• A behavioral and technical interview with a member of the Executive team
• All interviews stages are Virtual