GenAI Data Specialist
Firstsource
Job Overview
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Job Description
Overview
We are seeking qualified GenAI Data Specialists to support training, evaluation, and dataset development for Gen AI models at Firstsource. This remote gig role involves data annotation, content generation, model evaluation, coding tasks, multimodal workflows, and additional relevant responsibilities under strict security and compliance standards.
Key Responsibilities
The role is divided into various complexity tiers:
- Low Complexity: Data Collection, Data Labelling & Annotation
- Mid Complexity: Content Understanding, Audio/Speech and Multimodal Tasks, Evaluation and Quality Assessment
- High Complexity: Translation and Localisation, Content Generation and Rewrite, Emerging/Derivative Tasks
- Specialized / Technical: Code-related tasks and domain-specific expert level tasks
Qualifications & Complexity Tiers
Qualification is determined by tier:
- Tier 0–1 (Entry/Support): High School or Bachelor’s, 0–4 years
- Tier 2 (Advanced Contributor): Master’s or equivalent, 3–5 years
- Tier 3 (Expert/Research): PhD or equivalent, 5–7+ years
- Tier 4 (Technical/Coding): CS/Engineering degree or 2–3 years dev experience
Language & Performance Requirements
Native or fluent in project language is required and for select client-facing roles, an English (C1+) proficiency is mandatory. Candidates must meet defined quality benchmarks, achieve ≥95% monthly productivity targets, and complete mandatory training and qualification assessments.
Application Process
Candidates should register and apply for the project via the following links:
- Register: Registration Link
- Apply for the project – “Gen AI Tasks 2026 Ver 1”
- Join the project community on Discord: Discord Link
Key skills/competency
- Data Annotation
- Content Generation
- Model Evaluation
- Coding
- Multimodal Workflows
- Compliance
- Quality Assessment
- Translation
- Localization
- Dataset Development
How to Get Hired at Firstsource
- Customize your resume: Highlight GenAI, data annotation, and coding experience.
- Review project details: Understand Firstsource requirements and tasks.
- Prepare portfolio: Showcase relevant GenAI work samples.
- Practice interview questions: Focus on technical and task-based scenarios.
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