13 days ago

Data Specialist

Firstsource

Hybrid
Other
$60,000
Hybrid

Job Overview

Job TitleData Specialist
Job TypeOther
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$60,000
LocationHybrid

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Job Description

About the Data Specialist Role at Firstsource

The Data Specialist is a GenAI expert who supports training, evaluation, and dataset development for Gen AI models. The role involves data annotation, content generation, model evaluation, coding tasks, and multimodal workflows, while adhering to strict security and compliance standards.

Key Responsibilities

  • Data labeling, annotation, and collection
  • Content understanding and generation
  • Audio, speech, and multimodal task management
  • Model evaluation, quality assessment, and code related tasks
  • Domain specific tasks including translation, localisation, and expert-level analysis

Qualifications & Complexity Tiers

Candidates are classified into distinct tiers:

  • Tier 0-1: Entry/Support level (High School or Bachelor’s, 0-4 years)
  • Tier 2: Advanced Contributor (Master’s, 3-5 years)
  • Tier 3: Expert/Research level (PhD, 5-7+ years)
  • Tier 4: Technical/Coding (CS/Engineering degree or 2-3 years dev experience)

Performance & Application Process

Candidates must meet quality benchmarks with ≥95% monthly productivity and complete required training. Register at the provided link and apply for the "Gen AI Tasks 2026 Ver 1" project. Join the project community for coordination via Discord by tagging "Om Aryan" or "Ruksana".

Key skills/competency

  • Gen AI
  • Data Annotation
  • Content Generation
  • Model Evaluation
  • Coding
  • Multimodal
  • Dataset Development
  • Compliance
  • Quality Assessment
  • Training

Tags:

Data Specialist
Gen AI
data annotation
content generation
model evaluation
coding
multimodal
dataset
compliance
quality

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How to Get Hired at Firstsource

  • Research Firstsource's culture: Understand mission and project goals.
  • Customize your resume: Highlight Gen AI experience.
  • Showcase specific skills: Emphasize data annotation and coding.
  • Prepare for interviews: Review gig-based work scenarios.

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