AI Content Reviewer

ob Details:

Role Type: Contractual Job Role, Full-time (Till 15th May 2026)

Work Mode: Work From Home

Working Days: 6 days working with 1 rotational off

Shift Timings: 6:00 AM 2:00 PM / 2:00 PM 10:00 PM(Shift will be decided based on project requirements)

Requirements: Own laptop with Windows 11

Qualification: Bachelor's degree required (Pursuing candidates are not applicable)

Availability to Join: Immediate

Compensation: 40k per month (PF Deduction is Applicable)

Job Description

As a Content / Prompt Reviewer on our Data Annotation team, you will be part of a global group of subject-matter experts and AI specialists responsible for evaluating, refining, and improving AI-generated content. Your work will directly contribute to the quality, safety, and alignment of AI models. Key responsibilities include:

Reviewing, evaluating, and refining prompts and AI-generated responses to improve accuracy, clarity, coherence, tone, and alignment with intended use cases

Creating and validating high-quality training datasets to support the development and fine-tuning of AI models

Annotating and labeling text-based data in accordance with established guidelines, quality standards, and ethical considerations

Identifying and correcting issues related to grammar, syntax, structure, factual consistency, and style in both human-authored and AI-generated content

Assessing content to ensure AI outputs align with human values, safety standards, and policy requirements

Providing detailed feedback and rationale to support model improvement and iterative training processes

Achieve target KPIs, including daily job count, average handle time per job, and specified production hours.

Education and Abilities

Minimum of bachelor's degree and good English proficiency level.

Proven experience in Data Annotation / Image Annotation or Video Annotation will be a plus.

Sound understanding of grammar, syntax, and semantics.

Good reasonable assumption skills, strong attention to details, and ability to handle ambiguities and nuances.

Hiring Process Akshi will share the SharePoint link to add candidates

Initial Assessment: General EN Assessment (M1125) will share the link

Pearson Assessment from Scorekeeper

HR Screening Round

Operations Interview

Date of Joining ONLY Thursday, 26th Feb 2026 and Monday 2nd March 2026