Azure OpenAI Code Review and Evaluation Developer

About OpenTrain

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About AI Training and Code Evaluation

AI training is the human side of building modern artificial intelligence. Contributors review examples, assess model-generated responses, and provide precise feedback that helps AI systems become more accurate and useful. In coding projects, this can include checking implementations, identifying errors, and judging whether technical explanations follow current best practices.

This is remote, flexible work that can fit around other commitments. Your technical judgment and clear written feedback will directly support the development of AI systems that provide better guidance to software developers.

• Remote work from India
• Less than 20 hours per week
• Part-time contractor engagement
• Pay of $20 USD per hour
• English-language technical evaluation work

The Role

As an Azure OpenAI Code Review and Evaluation Developer, you will analyze AI-generated prompts, code, and responses related to Azure OpenAI Service. You will assess accuracy, relevance, clarity, and alignment with correct Azure implementation practices, then provide structured feedback that can improve future model outputs.

The role focuses on real-world Azure OpenAI development, including model deployment, API integration, authentication, cloud infrastructure, fine-tuning, and performance optimization. Although the structured listing identifies this opportunity as entry level, the role description specifically requests at least five years of hands-on experience with Azure OpenAI Service and related development work.

• Review AI-generated Azure OpenAI code and technical explanations
• Evaluate model deployment configurations and API usage
• Check authentication methods, including Azure Active Directory and managed identities
• Identify inaccurate, inefficient, or incomplete implementation guidance
• Write detailed, structured feedback in English

What You'll Evaluate

Your evaluations will cover whether AI-generated content gives developers accurate and practical guidance for working with OpenAI models in Azure. You may examine code and explanations involving GPT, Codex, or DALL·E deployments, Azure OpenAI API integrations, and connections with Azure services or enterprise applications.

You will also assess the quality of AI-generated answers about rate limits, token usage, cost efficiency, performance optimization, authentication, and enterprise-scale deployment. The work requires you to explain why an answer is correct or incorrect and recommend improvements when needed.

• Azure OpenAI model deployment and configuration
• API integration and implementation debugging
• Azure authentication and access patterns
• Cloud workload scaling and performance considerations
• Code accuracy, relevance, and adherence to best practices
• Clear, concise, and technically supported written feedback

Requirements

The role requires strong practical knowledge of Azure OpenAI development and the ability to distinguish hands-on experience from theoretical familiarity. You should be comfortable discussing real projects, debugging implementation issues, and explaining technical decisions clearly.

The evaluation process may ask you to describe your Azure OpenAI experience, troubleshoot an API code example, discuss authentication and scaling choices, and assess an AI-generated statement or implementation. Candidates are expected to provide specific examples and reasoned explanations rather than generic answers.

• At least five years of hands-on experience with Azure OpenAI Service
• Experience deploying OpenAI models within the Azure ecosystem
• Knowledge of model deployment, API integration, and fine-tuning OpenAI models in Azure
• Understanding of Azure Active Directory and managed identity authentication
• Ability to debug and optimize OpenAI API implementations
• Knowledge of rate limits, token usage optimization, and enterprise cloud workloads
• Strong English writing and communication skills
• Ability to evaluate AI-generated code and provide structured feedback
• High attention to detail and readiness for precise labeling tasks

Who Should Apply

This opportunity is suited to Azure OpenAI developers who can combine software engineering judgment with careful AI evaluation. It is especially relevant if you have integrated OpenAI models with Azure Functions, Azure Cognitive Services, or enterprise applications and can explain the challenges and solutions involved.

You should be able to communicate complex Azure OpenAI concepts to both technical and beginner audiences. Applicants must be prepared to complete structured evaluation work for less than 20 hours per week and should apply only if they can demonstrate genuine hands-on experience.

• Azure OpenAI developers with real-world implementation experience
• Software engineers comfortable reviewing cloud-based code
• Technical professionals who can identify subtle API and deployment issues
• Strong English communicators who give organized, actionable feedback
• Contributors seeking flexible, part-time remote AI training work

Pay and Engagement Details

This is a part-time contractor opportunity for contributors located in India. The expected workload is less than 20 hours per week, and compensation is $20 USD per hour.

• Location: India
• Language: English
• Workload: Less than 20 hours per week
• Engagement: Part-time contractor
• Compensation: $20 USD per hour

Apply Through OpenTrain

Create a free OpenTrain account to build your profile and apply in minutes. Your application should clearly present your Azure OpenAI development background, relevant deployment or integration experience, debugging ability, and readiness to evaluate AI-generated code with precision.

• Highlight hands-on Azure OpenAI projects
• Describe your experience with authentication, deployment, and API optimization
• Show how you communicate technical feedback clearly
• Confirm your availability for structured part-time evaluation work