Java Software Engineer

Job Description

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: 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)

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Part-time

Hybrid remote