Rohit J.-Professional AI Trainer | Hindi Language Specialist | IT Professional
Check rate
Experience
Image Captioning Annotator – Project Origami
Appen
- Authored detailed, descriptive image captions for AI training datasets under Project Origami, ensuring linguistic clarity, accuracy, and consistency.
- Applied strict style and quality guidelines to maintain caption consistency across large-scale image batches.
- Collaborated with QA reviewers to resolve captioning discrepancies and improve dataset reliability for multimodal model training.
Video Annotation Specialist
Shift AI
- Annotated video content frame-by-frame to support computer vision and multimodal AI model training pipelines.
- Labeled objects, actions, and scene attributes within video datasets, ensuring high annotation accuracy and adherence to project specifications.
- Worked independently as a freelance contributor, managing deliverables and quality standards within tight project timelines.
Audio Annotation Specialist
Appen
- Transcribed and annotated audio datasets with attention to phonetic accuracy, speaker intent, and contextual nuance for speech-AI model training.
- Tagged and validated audio segments against project-specific labeling guidelines to support ASR (Automatic Speech Recognition) model development.
- Performed quality checks on annotated audio files to ensure consistency and adherence to client accuracy benchmarks.
AI Trainer
Invisible Technologies
- GDPval Rubrics May 2026 – Jun 2026 Evaluated model outputs against GDP-aligned quality rubrics; contributed structured feedback to calibrate scoring pipelines for generative AI benchmarks.
- RM Preference Rewrites Apr 2026 – May 2026 Rewrote AI-generated responses to better align with human preference signals, improving reward model training data quality and response coherence.
- RM Preference Ranking Apr 2026 – May 2026 Ranked paired model responses based on preference criteria to build high-quality RLHF datasets for fine-tuning reward models.
- Video Q&A (Batch I) Mar 2026 – Apr 2026 Generated and validated question-answer pairs from video content, ensuring factual accuracy and contextual relevance for multimodal AI training.
- Video Q&A (Batch II) Mar 2026 – Apr 2026 Continued video-based QA annotation with enhanced coverage of diverse topics, improving model comprehension of video-grounded knowledge.
- Google VSB Mar 2026 – Apr 2026 Contributed to Google's VSB (Vertical Search Benchmark) initiative by annotating and validating search results for quality, relevance, and accuracy.
- Brand Adherence Mar 2026 – Apr 2026 Assessed AI-generated content for consistency with brand voice, tone guidelines, and messaging standards to support enterprise content safety workflows.
- MultiFacts Hindi Feb 2026 – Mar 2026 Curated and verified multi-faceted Hindi factual datasets, ensuring linguistic accuracy, cultural relevance, and diversity for NLP model pretraining.
- Image Anonymization Feb 2026 – Mar 2026 Annotated and validated image datasets for PII detection and anonymization, supporting privacy-compliant AI vision model development.
- OCR Certification Feb 2026 – Mar 2026 Certified OCR outputs by reviewing and correcting text extraction accuracy from scanned documents, improving digitization pipelines for Indian-language scripts.
- Meta – OCR Certification Jan 2026 – Feb 2026 Performed OCR quality certification for Meta's document intelligence initiative, focusing on Devanagari script accuracy and multilingual text recognition.
- Flexwork Onboarding – Expert (Phase II) Dec 2025 – Jan 2026 Completed advanced Expert onboarding tasks covering evaluation frameworks, task calibration, and annotation quality benchmarking for AI workflows.
- Flexwork Onboarding – Expert (Phase I) Oct 2025 – Nov 2025 Onboarded onto the Flexwork platform with training on Expert AI annotation tasks, quality standards, and project-specific style guides
AI Trainer – Expert
Invisible Technologies
- Designed and tested complex Hindi language scenarios spanning verb conjugations, noun declensions, sentence structures, and regional dialects for LLM training pipelines.
- Identified, documented, and reported reproducible AI error patterns; verified factual accuracy, logical consistency, and linguistic soundness across model outputs.
- Engineered high-quality prompts to enhance AI reasoning, contributing measurably to model evaluation metrics and NLU improvements for Hindi-speaking user bases.
- Delivered 13+ project SOWs across diverse domains including OCR, video QA, brand adherence, preference ranking, and Expert evaluation tasks.
- Collaborated with global cross-functional teams to meet tight project deadlines while maintaining annotation quality standards above 95%.
Image Captioning Annotator
Appen
- Authored detailed, descriptive image captions for AI training datasets under Project Origami, ensuring linguistic clarity, accuracy, and consistency.
- Applied strict style and quality guidelines to maintain caption consistency across large-scale image batches.
- Collaborated with QA reviewers to resolve captioning discrepancies and improve dataset reliability for multimodal model training.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Quality Assurance, Information Technology, and Research and Development.
Summary
Results-driven AI Trainer and Hindi Language Specialist with 2+ years of experience training and evaluating large language models across multi-domain NLP tasks. Demonstrated expertise in Hindi linguistics (grammar, syntax, morphology, semantics, pragmatics, and regional dialects), prompt engineering, and AI model evaluation. Successfully completed 16+ specialized AI projects for global tech clients including Google, Meta, Appen, Shift AI, and leading AI firms. Adept at data annotation, error analysis, quality benchmarking, and cross-functional collaboration in fast-paced remote environments.
Skills
- Hindi Grammar & Linguistics
- Prompt Engineering
- Ai/Ml Model Evaluation
- Data Annotation & Labeling
- Error Analysis & Qa
- Nlp & Nlu
- Video & Audio Annotation
- Image Captioning
- Python
- Java / Spring Boot
- Mysql / Mongodb
- Firebase Cloud
- Html / Css
- Intellij Idea
Languages
Education
Shri G. S. Institute of technology and Science
Master of Computer Applicatios · Computer Applications · Indore, India · 7.15
Devi Ahilya University
B.Sc. · Computer Science · Indore, India
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Rohit is based in Indore, India.
Rohit speaks the following languages: Hindi (Native), English (Advanced).
Rohit has at least 1 year of experience. During this time, Rohit has worked in at least 6 different roles and for 3 different companies. The average length of individual experience is 2 months. Note that Rohit may not have shared all experience and actually has more experience.
Based on recent experience, Rohit would be well-suited for roles such as: Image Captioning Annotator – Project Origami, Video Annotation Specialist, Audio Annotation Specialist.
Rohit's most recent position is Image Captioning Annotator – Project Origami at Appen.
In recent years, Rohit has worked for Appen, Shift AI, and Invisible Technologies.
Rohit is most experienced in industries like Information Technology.
Rohit is most experienced in business areas like Quality Assurance, Information Technology, and Research and Development.
Rohit holds a Master in Computer Applications from Shri G. S. Institute of technology and Science and a Bachelor in Computer Science from Devi Ahilya University.
Rohit is immediately available full-time for suitable projects.
Daily rate distribution
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Calculated based on our freelancers’ daily rates as of 26 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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