Machine Learning Engineer
Indexed description
Position: Expert Professionals — AI & Data Science — IN
Type: Contract
Compensation: $27–$32/hour
Location: Remote
Commitment: 40 hours/week
Role Responsibilities
- Guide research and engineering teams to close knowledge gaps in data science, AI, and machine learning domains. Surface nuances that distinguish expert-level work from surface-level reasoning.
- Design challenging data science and AI tasks rooted in real-world statistical modeling, ML pipelines, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth.
- Evaluate AI agent outputs and data science solutions. Provide detailed written feedback that captures correctness, efficiency, and reasoning quality.
- Develop and refine evaluation frameworks and rubrics for assessing statistical reasoning, ML pipeline design, agentic behavior, and data analysis approaches.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
- 3+ years of professional or research experience in data science, machine learning, data engineering, AI systems, or software engineering.
- Demonstrated technical expertise in at least one of: statistical modeling, ML modeling, data analysis, programming, LLMs, or agentic workflows.
- Demonstrable career progression.
- Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
- Strong written communication skills and the ability to explain analytical and technical decisions clearly.
- Prior experience with data annotation, labeling, evaluation, or human feedback collection is a strong plus.
- Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks is a plus.
- W-2 employment with Cincinnatus LLC.
- Paid weekly.
- Upload resume
- AI interview based on your resume
- Submit form
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
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