PE

Arts Annotator

People Prime Worldwide
India Posted 24 Mar 2026
FULL TIME
camera movement
composition
Lighting

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 Description:-

Job Title: Arts Annotator

Location: Pan India

Experience: 2+ yrs

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: Immediate joiners

Roles & Responsibilities:

Job Responsibilities

  • Evaluate visual and media content using structured guidelines and predefined rating frameworks.
  • Provide clear, well-structured written justifications to support evaluation decisions.
  • Ensure consistency, accuracy, and attention to detail across high-volume annotation tasks.
  • Identify quality gaps related to realism, composition, motion, lighting, and overall production standards.

Job Requirements

  • Media/agency experience strongly preferred
  • Hands-on experience working directly with designers, photographers, or videographers (mandatory)
  • Experience with AI image or video generation tools is a strong plus
  • Strong understanding of motion realism, lighting, camera movement, composition, and production quality
  • Strong analytical, logical reasoning, and research skills and excellent communication and collaboration abilities, with proficiency in English.
  • Incorporate feedback from LLM performance metrics into training data creation.

Required Qualification:

Bachelor's degree or higher in:

  • Design, Visual Communication, or Fine Arts
  • Film, Media, Animation, or VFX
  • Photography or Cinematography
  • Architecture or Industrial Design
  • Creative Writing or equivalent professional experience in content creation, media production, or content review.
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