YO IT CONSULTING10.04.26
AI SCORE 7.5

Software Engineer for AI Evaluation Dataset - Remote

$60K–$80K/year

About the Role

We're hiring a Software Engineer for AI Evaluation Dataset to support high-impact research collaborations with leading AI labs. This fully remote position allows you to leverage your engineering expertise toward shaping the next generation of intelligent systems. As a Software Engineer for AI Evaluation Dataset, you'll contribute to building evaluation datasets that assess AI reasoning, explanation quality, and technical judgment in coding-related interactions.

What You'll Do

  • Craft realistic developer prompts across multiple categories including code review, debugging, and error diagnosis.
  • Source and adapt content from real pull requests to create authentic scenarios.
  • Write clear, technically accurate model responses that demonstrate strong reasoning and explanation quality.
  • Collaborate with AI researchers to ensure datasets meet project requirements.
  • Engage in debugging, testing, and validating code to enhance dataset quality.

Requirements

  • 2+ years of experience in software engineering, technical research, or educational content development.
  • Degree in Software Engineering, Computer Science, or a related field (Bachelor’s minimum; advanced degree preferred).
  • Strong proficiency in programming languages such as Python, JavaScript, Java, or C++.
  • Experience with debugging, testing, and validating code.
  • Comfortable with technical writing and attention to detail.

Nice to Have

  • Familiarity with AI concepts and methodologies.
  • Experience in creating educational content or technical documentation.
  • Knowledge of version control systems like Git.

What We Offer

  • Flexible work arrangements with the ability to work part-time (15-25 hours/week, with flexibility up to 40 hours/week).
  • Opportunity to work on cutting-edge AI projects.
  • Engagement as an independent contractor with competitive compensation.
  • Remote work benefits that allow you to manage your own schedule.
  • Potential for project extensions based on performance.

Apply today and leverage your software engineering expertise to help build the future of AI-driven systems!

Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job7.5 of 10

This Software Engineer role offers a unique opportunity to work on AI evaluation datasets remotely. With competitive pay and flexible hours, it's ideal for those passionate about AI.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficiency in Python for data manipulation and analysis, with experience in libraries like Pandas and NumPy to efficiently handle large evaluation datasets.

Strong debugging skills with a systematic approach to troubleshooting issues in JavaScript, Java, or C++ code, ensuring high-quality outputs in AI evaluations.

Detail-oriented mindset with a passion for technical writing, enabling clear documentation of methodologies and findings for AI evaluation datasets to facilitate knowledge sharing.

Learning Resources

Python for Data Science Handbookguide

Career Path

Software Engineer for AI Evaluation Dataset(Now)Software Engineer - AI Systems(1-2 years)Senior Software Engineer - AI Research(3-5 years)

Market Overview

Python Market Size 2024
$35B
Annual Growth
12.5%
AI Adoption in Software Development
75%
Investment in AI Tools
+150%
Labour Demand for Python Developers
+20%
Avg Salary for Junior Python Developers
$80K

Skills & Requirements

Required
PythonJavaScriptJava
Growing in Demand
Machine LearningData AnalysisAPI Development
Declining
PerlVisual Basic

Domain Trends

Increased Use of AI in Software Testing
AI-driven testing tools are being adopted by 60% of software teams, improving testing efficiency by 40%.
Rise of No-Code/Low-Code Platforms
The market for no-code/low-code solutions is expected to grow by 25% annually, leading to a shift in how applications are developed.
Focus on Ethical AI Development
77% of tech companies are prioritizing ethical AI practices, influencing hiring and project management strategies.

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