Remote Data Analyst – Machine Learning Evaluation

About the role

We are looking for a Remote Data Analyst to support the design, evaluation, and documentation of machine‑learning and agentic systems. The role blends data science, data engineering, and software workflow expertise to produce high‑quality ground‑truth data for advanced AI models.

Key responsibilities

• Design complex technical tasks across machine learning, data science, data engineering, and software workflows.
• Evaluate model outputs, providing detailed feedback on correctness, efficiency, and reasoning quality.
• Develop evaluation frameworks and rubrics for assessing agentic system behavior.
• Create accurate, well‑documented solutions that serve as high‑quality ground‑truth data.
• Collaborate with cross‑functional subject‑matter experts to ensure consistency and technical accuracy.

Required profile

• Strong experience in machine learning, data science, software engineering, or related STEM disciplines.
• Proven ability to work full‑time on weekdays throughout the engagement.
• Experience with data annotation, evaluation, or human‑feedback workflows is a plus.
• Familiarity with large language models (LLMs), agentic systems, or evaluation frameworks.
• Excellent written communication and technical documentation skills.

Required skills

• Programming
• Data analysis
• Statistical methods
• Computational workflows
• Data annotation
• Evaluation frameworks
• LLMs
• Agentic systems

What we offer

• Competitive hourly rate ranging from $70 to $100.
• Fully remote work environment.
• Opportunity to influence cutting‑edge AI evaluation processes.