
Director of Engineering
Easley Resource Group, WorkFromHome, NE, United States
Overview
The cities near Omaha, NE that boast the highest number of audio engineering jobs are:
- Rochester
- Columbia
- Cedar Rapids
- Kansas City
- Sioux Falls
- Des Moines
- Lincoln
- Wichita
- Lee's Summit
The 10 cities near Omaha, NE that have the most job openings are:
- Rochester
- Independence
- Topeka
- Columbia
- Cedar Rapids
- Olathe
- Kansas City
- Sioux Falls
- Overland Park
- Des Moines
The 10 most popular job searches in Omaha, NE are:
- city
- amazon
- work from home
- ne
- nurse
- rn
- registered nurse
- cna
- government
- human resources
Opportunity and role
- Location : US-Based and Non-US-Based Type : Full-time or Part-time Contract Work
Role context
Fluent Language Skills Required : English
What You’ll Do
- 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
- Conduct accuracy testing by executing code and validating outputs using appropriate tools
- 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
Who You Are
- You hold a BS, MS, or PhD in Computer Science or a closely related field
- You have significant (5+ years) real-world experience in software engineering or related technical roles
- You are an expert in Ruby
- You are able to solve HackerRank or LeetCode Medium and Hard–level problems independently
- You have experience contributing to well-known open-source projects, including merged pull requests
- You have significant experience using LLMs while coding and understand their strengths and failure modes
- You have strong attention to detail and are comfortable evaluating complex technical reasoning, identifying subtle bugs or logical flaws
Nice-to-Have Specialties
- 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
What Success Looks Like
- You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions
- Your feedback improves the correctness, robustness, and clarity of AI coding outputs
- You deliver reproducible evaluation artifacts that strengthen model performance
- Mercor customers trust AI systems to assist reliably with real-world coding tasks
Why Join Mercor
At Mercor, experienced software engineers play a direct role in shaping how AI systems reason about and generate code. This remote role allows you to apply your technical expertise to high-impact AI development work, improving systems used by developers around the world.
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