AI Engineer ( Remote) (2-5 years Exp)

Overview

Job Title : AI Engineer in India (Remote)

About Us:

• We are at the forefront of AI and machine learning, and we’re looking for motivated individuals to contribute to the next generation of intelligent models.
• The ideal candidate will have experience working with Turing.com and a strong background in data annotation, prompt engineering, and model fine-tuning.
• You will play a critical role in refining AI systems, providing essential human feedback, and enhancing overall model performance.

Required Skills :

• RHLF, LLM, NLP, BERT

Key Qualifications:
Experience in RLHF:

• Deep understanding of Reinforcement Learning (especially RLHF) for LLMs and how it applies to improving AI models.
• Hands-on experience in fine-tuning LLMs through iterative human feedback.

Data Expertise:

• Prior experience in annotating datasets for AI/ML models with a focus on quality control.
• Experience with annotation tools and platforms like Labelbox, Prodigy, or Turing’s proprietary tools.

Technical Proficiency:

• Familiarity with LLM frameworks like GPT-3/4, BERT, and advanced NLP models.
• Strong command of Python, SQL, or related programming languages for handling data processing tasks.
• Understanding of prompt engineering, and experience with platforms like Hugging Face or LangChain is a plus.

Turing.com Experience:

• Prior work experience at Turing.com (or similar remote work platforms), with a focus on AI, data annotation, or similar roles.
• Understanding of the remote work dynamic and experience collaborating with distributed teams.

Preferred Qualifications:

• Minimum 2-5 years of experience in model fine-tuning, prompt engineering, and human-in-the-loop systems.
• Familiarity with cloud platforms (AWS, Azure) and MLOps best practices.
• Previous work on reinforcement learning pipelines in large-scale AI projects.

What You’ll Do:

• You will play a key role in annotating and curating data for the training and fine-tuning of large language models (LLMs), ensuring annotations are accurate, consistent, and project-aligned.
• You’ll implement Reinforcement Learning with Human Feedback (RLHF) techniques, providing structured human feedback to guide model outputs and continuously fine-tune models to improve performance.

Why You Should Apply:

• Flexible without any restrictions, opportunity – work whenever it fits your schedule!
• Remote – work from anywhere in India!

Job Type: Full-time

Pay: ₹1,000.00 - ₹1,300.00 per hour

Work Location: Remote