Anjali A.

Key Skills

Software

Don't disclose

Top Subject Matter

Hindi-English translation

transcription review

linguistic quality assurance.

Top Data Types

Text

Document

Top Task Types

Bounding Box

Classification

Text Generation

Object Detection

Text Summarization

RLHF

Freelancer Overview

Flitto — Freelance Hindi Translator & Language Quality Reviewer. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose. Education includes Bachelor of Science, IIT Madras (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Flitto — Freelance Hindi Translator & Language Quality Reviewer

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Freelance Hindi translator and language quality reviewer performing Translation Quality Checks (TQC) and transcription review for Hindi-English content. The work involved verifying guideline compliance and assessing translation/transcription quality against task requirements. Responsibilities included ensuring accurate deliverables within deadlines and improving linguistic consistency across outputs. • Translation Quality Checks (TQC) • Transcription output review • Guideline compliance verification • Quality assurance for Hindi-English language tasks

2025 - Present

Outlier AI — AI Data Annotator

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Evaluated AI-generated responses as part of an AI data annotation workflow. The role involved rating or assessing language quality and using feedback to improve response quality according to productivity targets. Responsibilities centered on ensuring outputs met quality expectations and guidelines. • Evaluated AI-generated responses • Improved language quality through feedback • Met productivity targets • Performed quality-focused assessment of outputs

2025 - 2025

Innodata — AI Training Data Annotator

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AI training data annotation focused on labeling and evaluating Hindi-language or Hindi-related text datasets for model improvement. The role included performing quality assurance checks and following provided annotation guidelines during the annotation cycle. Work emphasized correctness, consistency, and adherence to task instructions. • Annotated AI training data • Conducted quality assurance checks • Followed annotation guidelines • Ensured labeled data quality for training

2025 - 2025

AI Training Data Annotator (Excluded) - Innodata

Annotated and validated AI training data according to provided annotation guidelines and quality criteria. Conducted quality assurance checks to improve consistency and correctness of labeled outputs. Met defined productivity expectations while following task instructions. • Annotate AI training data • Perform quality assurance checks • Follow annotation guidelines • Ensure task adherence and productivity targets

2024 - 2024

Education

Work History