Java Software Developer

• *About The Job**
• *Mercor**

connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include

• *Benchmark**

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• *General Catalyst**

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• *Peter Thiel**

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• *Adam D'Angelo**

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• *Larry Summers**

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• *Jack Dorsey**

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• *Position:**

AI Model Evaluator

• *Type:**
• *Full-time or Part-time Contract Work**
• *Compensation:**
• *$60–$100/hour**
• *Location:**
• *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**
• *Must-Have**
• 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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