At a Glance
- Tasks: Evaluate and improve AI coding models through hands-on data engineering tasks.
- Company: Join Mercor, a partner of a leading AI research lab.
- Benefits: $400 per accepted task with flexible sprint-based work.
- Other info: Limited spots available, so apply quickly!
- Why this job: Make an impact in the AI field while honing your data engineering skills.
- Qualifications: 2+ years in data engineering and experience with AI coding agents.
The predicted salary is between 9000 - 11000 £ per year.
About the Role
- Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project.
- Contributors help evaluate and improve frontier AI coding models through structured technical assessments.
- The work focuses on realistic data engineering workflows and model evaluation.
- Spots are limited and filling quickly on a first come, first serve basis.
- What You’ll Do
- Use frontier AI coding agents to complete and evaluate complex data engineering tasks.
- Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems.
- Identify bugs, edge cases, scalability issues, and failure modes.
- Compare outputs from multiple frontier models and assess their strengths and weaknesses.
- Apply professional engineering judgment to realistic data engineering scenarios.
- Time Commitment
- Sprint based project that runs in 12-24 hour stretches based on client requirement.
Compensation
- $400 per accepted task.
- Typical tasks take approximately 2–3 hours after ramp-up.
- Compensation is tied to accepted work.
- Who Should Apply
- 2+ years of professional data engineering experience.
- Experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems.
- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
- Ability to evaluate model-generated data infrastructure and pipeline implementations.
- Experience operating large-scale data platforms is preferred.
- #J-18808-Ljbffr
Data Engineer - AI Model Evaluation employer: Obsidian
At Obsidian, we pride ourselves on fostering a collaborative and innovative work culture that empowers our ML Scientists to push the boundaries of machine learning research. Located in a vibrant tech hub, we offer competitive compensation, flexible project-based work, and ample opportunities for professional growth, making us an excellent employer for those looking to make a meaningful impact in the field of AI.
We think you need these skills to ace Data Engineer - AI Model Evaluation
Data Engineering
ETL Pipelines
Data Warehousing
Analytics Platforms
Distributed Data Systems
AI Coding Agents
Model Evaluation
