ML Evaluation Designer - Expert - AI Trainer

Mercor
Austin, TX

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Code-Data Eval Author — Machine Learning Engineer

Type: Contract

Compensation: $45–$140/hour

Location: Remote

Commitment: 30+ hours/week

Role Responsibilities

  • Design ML/LLM evaluation tasks , rubrics, and metrics to enhance model performance.
  • Grade model/agent outputs and improve evaluation quality through thorough review.
  • Apply training-side judgment in SFT , RLHF , and reward modeling to evaluation design.
  • Collaborate with AI research teams to refine evaluation signals and improve model outputs.
  • Work independently and asynchronously to meet deadlines and improve AI model performance .

Qualifications

Must-Have

  • 5+ years as a Machine Learning Engineer with hands-on training and evaluation experience.
  • Proficiency in PyTorch , JAX , and Hugging Face .
  • Strong written communication skills.

Preferred

  • Fluency in SFT , RLHF , reward modeling, and evaluation metrics.

Interview Process

  • Mercor Technical Screen : Short assessment.
  • Live Code Review Session : Interactive evaluation.
  • Domain Expert Interview : In-depth discussion.
    You're paid $200 for completing all three, regardless of outcome.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check:
  • For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

#hiringmercor
Posted 2026-06-12

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