ML Systems Designer – Fully Remote
Mercor, San Francisco, CA, United States
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
AI Model Evaluator Type & Compensation & Location
Full-time or Part-time Contract Work • $60–$100/hour • Remote Role Responsibilities
Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness. Conduct fact‑checking using trusted public sources and authoritative references. Execute code and validate outputs using appropriate tools to ensure accuracy. Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies. Assess code quality, readability, algorithmic soundness, and explanation quality. Ensure model responses align with expected conversational behavior and system guidelines. Apply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines. Qualifications
BS, MS, or PhD in Computer Science or a closely related field 5 years of real‑world experience in software engineering or related technical roles Expertise in at least two relevant programming languages (e.g., Python, Java, C, JavaScript, Go, Rust, Ruby, SQL, PowerShell, Bash, Swift, Kotlin, R, TypeScript, HTML/CSS) Ability to solve HackerRank or LeetCode Medium and Hard–level problems independently Experience contributing to well‑known open‑source projects, including merged pull requests Significant experience using LLMs while coding and understanding their strengths and failure modes Strong attention to detail and comfort evaluating complex technical reasoning, identifying subtle bugs or logical flaws Preferred Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non‑expert audiences 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/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.
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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
AI Model Evaluator Type & Compensation & Location
Full-time or Part-time Contract Work • $60–$100/hour • Remote Role Responsibilities
Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness. Conduct fact‑checking using trusted public sources and authoritative references. Execute code and validate outputs using appropriate tools to ensure accuracy. Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies. Assess code quality, readability, algorithmic soundness, and explanation quality. Ensure model responses align with expected conversational behavior and system guidelines. Apply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines. Qualifications
BS, MS, or PhD in Computer Science or a closely related field 5 years of real‑world experience in software engineering or related technical roles Expertise in at least two relevant programming languages (e.g., Python, Java, C, JavaScript, Go, Rust, Ruby, SQL, PowerShell, Bash, Swift, Kotlin, R, TypeScript, HTML/CSS) Ability to solve HackerRank or LeetCode Medium and Hard–level problems independently Experience contributing to well‑known open‑source projects, including merged pull requests Significant experience using LLMs while coding and understanding their strengths and failure modes Strong attention to detail and comfort evaluating complex technical reasoning, identifying subtle bugs or logical flaws Preferred Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non‑expert audiences 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/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.
#J-18808-Ljbffr