Remote LLM Agentic Trainer - Programmer

Turing; Kolkata; On-site; INR 3,245,994 - 6,491,988; Part time

Benefits offered by this job

Fully remote environment

Opportunity to work on cutting-edge AI projects

Flexible time commitment options

Job summary

Turing is seeking candidates for a role focusing on validating training datasets for AI systems. Responsibilities include creating structured tasks using JSON, ensuring data workflows maintain quality standards, and collaborating with AI teams. Ideal candidates should possess strong SQL skills, expertise in JSON, and a keen interest in agentic AI and NLP. This role offers a fully remote working environment with flexible hours, available for a minimum commitment of 20 hours per week, with adjustments possible based on engagement duration.

Qualifications

• Solid understanding of SQL for querying and managing datasets.
• Expertise in handling JSON for structured tasks.
• Exceptional attention to detail with a focus on data quality.
• Interest in agentic AI, LLMs, or NLP best practices.

Responsibilities

• Validate large-scale training datasets and maintain quality standards.
• Create and structure JSON tasks for function-calling workflows.
• Work closely with AI researchers to align datasets.
• Monitor data accuracy and integrity across projects.
• Contribute to documentation for dataset preparation.

Skills

SQL for querying and managing datasets

Expertise or knowledge in handling JSON

Attention to detail focusing on data quality

Interest in agentic AI, LLMs, or NLP best practices

Experience with data annotation tools

Job description

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Role Overview

We are seeking candidates with experience in any programming language or tech stacks to validate and ensure the quality of training data used in developing agentic AI systems. This role involves working with function-calling methods to create structured tasks, ensuring data workflows remain consistent, accurate, and aligned with cutting-edge AI requirements.

What does day-to-day look like?

• Validate large-scale training datasets and maintain strict quality standards.
• Create, manipulate, and structure JSON tasks for function-calling workflows.
• Work closely with AI researchers and teams to align datasets with agentic AI use cases.
• Monitor data accuracy, consistency, and integrity across projects.
• Contribute to documentation and best practices for dataset preparation and validation.

Requirements

• Solid understanding of SQL for querying and managing datasets.
• Expertise or Knowledge in handling JSON.
• Exceptional attention to detail with a focus on data quality and consistency.
• Interest in or exposure to agentic AI, LLMs, or NLP best practices.
• Bonus: Prior experience with data annotation tools or prompt engineering for Agent AI.

Perks of Freelancing With Turing

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
• Engagement Type: Contractor assignment (no medical/paid leave)
• Duration of Contract: 1 month (adjustable based on engagement)

Evaluation Process

• Below tests are setup in vetsmith for candidates to take it online at their convinient time
• Automated coding challenge (Choose any programming language) - (30-45) mins
• Function calling MCQ test (30 mins)

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.