ML Evaluation Designer - Expert - AI Trainer

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: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: support@mercor.com

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