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Azure OpenAI Code Review And Evaluation Developer

Review AI-generated code and responses about Azure OpenAI, checking accuracy, API use, authentication, deployments, and performance. This part-time contractor role pays $20 per hour and is open to candidates in India.

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OpenTrain AI

Coding & Software

Remote Hourly · $20/hr

$20/hr

Compensation

1 country

Eligibility

Entry

Experience

Mar 10, 2025

Posted

Open to applicants in

India

The Work

You will review AI-generated prompts and responses about OpenAI models deployed through Azure. Your feedback will help improve the accuracy and usefulness of guidance given to developers working with Azure OpenAI.

  • Check AI responses for accuracy, relevance, and alignment with Azure OpenAI best practices.
  • Label and categorize AI-generated code and other model outputs.
  • Assess API usage, Azure-based authentication, model deployment settings, and performance improvements.
  • Write structured, detailed feedback in English.
  • Review content related to Azure OpenAI Service, model deployment, API integration, and model fine-tuning.

What It Pays And Takes

This is a part-time contractor role for less than 20 hours per week. The listing is marked entry level, while the role description requires at least five years of hands-on experience with the technologies below.

  • Pay: $20 per hour.
  • Location: India only.
  • Language: English.
  • Work type: Part-time contract.
  • Experience: 5+ years working hands-on with Azure OpenAI Service.
  • Technical requirements: Azure OpenAI model deployment, API integration, and OpenAI model fine-tuning within Azure.
  • Additional skills: Azure authentication, cloud AI workload management, and API call optimization for enterprise applications.
  • Strong English writing skills for detailed AI response reviews.

How It Works

Apply on OpenTrain. The employer reviews applications there.

About AI Training Work

AI training work uses human reviews, labels, and feedback to improve how AI systems understand and produce information. People with software and cloud expertise are paid to check whether model outputs are accurate, useful, and technically sound.

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