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Work Mode

Remote

Job Type

Contractual

Job Description

About Client:


Our client is a Palo Alto–based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the “Intelligent Talent Cloud,”enabled companies to “spin up their engineering dream team in the cloud” by sourcing and managing vetted global talent.

In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.


Job Title: Python Json Developer

Location: Pan India

Experience: 3+ yrs

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: Immediate joiners


What does day-to-day look like?

  • Validate large-scale training datasets and maintain strict quality standards.
  • Develop and optimize Python-based pipelines for data processing and validation.
  • 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

  • Strong proficiency in

    Python

    or

    JavaScript

    or

    Java

    or any other programming languages for data handling and workflow automation.
  • Solid understanding of SQL for querying and managing datasets.
  • Hands-on experience with GitHub for version control and collaboration.
  • Expertise in handling, creating, and validating JSON - formatted tasks

    .
  • 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.

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