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Junior Coding Annotator - Remote in USA

Job description

Work Location: USA (remote)  
Engagement Model: Freelancer / Independent Contractor 
Weekly Workload: Up to 25 hours per week 

DataForce is seeking skilled Software Engineers to join our team as Coding Annotators to support the development and evaluation of advanced AI models. This role focuses on creating high-quality coding prompts and answers, benchmarking model performance, and identifying failure cases across internal and competitor models. Candidates will contribute to building realistic evaluation environments and supporting reinforcement learning workflows. 

  

Role Summary: 

The Coding Annotator will be responsible for creating programming prompts and reference solutions aligned with industry benchmarks, such as SWE-Bench and Terminal-Bench. The role involves testing model outputs to identify failures. 

The annotator will also support reinforcement learning workflows by building and maintaining coding environments and executing coding-specific validation checks. This role does not involve quality checking Annotator++ outputs, but instead focuses on domain-specific evaluation, benchmarking, and technical analysis to surface model limitations and performance insights. 

Key Responsibilities: 

  • Create high-quality coding prompts and reference solutions aligned with industry benchmarks such as SWE-Bench and Terminal-Bench. 

  • Develop prompts focused on code refactoring, code generation, and problem-solving scenarios. 

  • Evaluate model outputs to identify errors, limitations, and failure patterns in reasoning, correctness, and execution. 

  • Design and maintain coding environments used for evaluation and reinforcement learning (RL) pipelines. 

  • Execute coding-specific validation checks using established criteria and tools provided by other annotation teams. 

  • Document findings, evaluation results, and insights to support model improvement and training strategies. 

  • Perform detailed code reviews and annotations for accuracy and compliance. 

  • Work with Python and front-end technologies (JavaScript, TypeScript); potentially with Java, too. 

  • Execute repetitive tasks with precision and maintain high standards of quality. 

  • Collaborate with cross-functional teams to improve code quality and documentation. 

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