Overview:

We are seeking highly skilled professionals to serve as Code Reviewers for LLM data training. This role involves validating, and improving AI-generated datasets across multiple programming domains, ensuring that AI models receive high-quality labeled data to enhance their accuracy and performance.

Key Responsibilities:

• Review AI-generated queries for accuracy, clarity, and relevance across various programming languages and frameworks.
• Validate and correct misleading or incorrect AI-generated responses.
• Ensure grammatical accuracy, logical structure, and coherence in queries.
• Categorize queries based on difficulty level and topic area.
• Provide constructive feedback to refine AI query generation processes.
• Collaborate with data scientists, machine learning engineers, and AI trainers to improve dataset quality.
• Maintain consistency in annotation standards and validation methodologies.

Technical Expertise Required:

Computer Vision Engineering:

• Proficiency in OpenCV and/or PyTorch.
• Strong background in computer vision and deep learning.
• Experience with YOLO (optional but a plus).

NLP Engineering:

• Experience with LangChain v2, LlamaIndex.
• Understanding of vector databases like ChromaDB.
• Knowledge of retrieval-augmented generation (RAG) and AI memory models.
• Ability to validate and enhance LangChain-related AI queries.

Data Science / Machine Learning Engineering:

• Strong understanding of OpenAI APIs (Azure-Samples, OpenAI Cookbook).
• Experience with Hugging Face Transformers (PyTorch-based NLP models).
• Ability to validate and enhance language model datasets.

Essential Skills & Qualifications:

• Bachelor's or Master’s degree in Computer Science, Software Engineering, AI, or a related field.
• 4-7 years of experience in at least one of the listed domains.
• Strong analytical skills and attention to detail.
• Excellent communication and documentation skills
• Strong problem-solving abilities and a logical mindset..
• Ability to work independently and as part of a collaborative team.
• Passion for AI development and improving large language model training datasets.

About SuperAnnotate

SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing AI models more efficiently with high-quality training data. We empower enterprises with advanced annotation and QA tools, data curation, automation features, native integrations, and data governance to create datasets and successful ML pipelines.

SuperAnnotate was recognized as one of the world’s top 100 AI companies in 2021 by CB Insights.

Why Join Us?

• Innovative Environment: Be part of a company recognized as a top AI innovator.
• Impactful Work: Contribute to global AI advancements and thought leadership.
• Growth Opportunity: A rare chance for career transitioners or those seeking an exciting new challenge.
• Remote Flexibility: Enjoy the freedom of a fully remote position with flexible hours.
• Competitive Compensation: Project-based pay reflecting the significance of your role. The hourly rate range for this position is between $30 and $70.