JavaScript Developer
AgileGrid Solutions
full-remotemidcontractother United States Today via LinkedIn
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JavaScriptProgrammingCode ReviewData AnnotationTechnical WritingPythonJavaC++Bilingual Communication (English/Spanish)LLM Training
About the role
Role Overview
You will work as an AI Data Annotator / Programming Expert, helping train AI models to solve complex programming challenges. The work is remote and centers on creating programming questions, reviewing AI-generated code, and providing high-quality feedback.
Responsibilities
- Create and answer computer science/programming-related questions to support AI training.
- Review and analyze AI-generated code for correctness, efficiency, and best-practice adherence.
- Analyze and rank AI responses based on accuracy and relevance.
- Provide clear, detailed, and constructive feedback to improve model responses.
- Collaborate to refine data annotation processes and improve model training quality.
- Maintain professionalism and consistency in all tasks.
Requirements
- Bachelor’s degree or higher in Computer Science or a related field.
- Proficiency in one or more programming languages, including Python, Java, JavaScript, or C++.
- Ability to fluently explain complex programming concepts in English and Spanish.
- Strong command of grammar, punctuation, and technical writing standards in both languages.
Preferred Qualifications
- At least 1 year of experience as a Software Engineer, Back End Developer, or Full Stack Developer.
Benefits
- Flexible remote work (work from anywhere in the remote-first model).
- Opportunity to contribute to innovative AI projects.
- Competitive compensation.
- Access to a global community of AI contributors.
- Ongoing learning opportunities through exposure to cutting-edge AI work.
- Supportive culture focused on reliability and flexibility.
About AgileGrid Solutions
Outlier AI, owned and operated by Scale AI, advances artificial intelligence through high-quality data annotation and human feedback. The company focuses on building a reliable, transparent, and flexible platform that supports contributors worldwide to help train and improve large language models (LLMs).
Scraped 5/16/2026