Expert human data to train, align and evaluate your AI
From SFT and RLHF to multimodal annotation and model evaluation, TransTech delivers multilingual, expert-verified data with managed quality and the scale AI teams need.
Full-lifecycle human data, from collection to evaluation
One managed partner across the AI development cycle: build the data, train the model, then test it with people who know the language and the domain.
LLM training data
Instruction data that teaches models to follow, reason and respond.
- SFT instruction–response pairs
- Prompt and conversation writing
- Preference pairs for DPO and RLHF
RLHF & human feedback
Human judgment turned into reliable training signals.
- Response ranking and comparison
- Rubric-based scoring
- Multilingual preference data
Evaluation & red-teaming
Find weaknesses before your users do.
- Accuracy, hallucination and bias review
- Safety testing and adversarial prompts
- Chatbot and agent workflow testing
Multimodal annotation
Precise labels across every data type.
- Image and video: box, polygon, segmentation
- 2D/3D, OCR and audio labeling
- Text classification and entity extraction
Data collection
Custom datasets from vetted global contributors.
- Speech, audio, image and video
- Accent, dialect and demographic targeting
- Consent-based, documented sourcing
Transcription
Accurate transcripts for speech AI and content teams.
- Verbatim and clean-read styles
- Speaker labels and timestamps
- Code-mixed multilingual audio
Translation & localization
Native-quality content for every market.
- Text, audio, video and software strings
- Subtitles, captions and voice-over scripts
- Glossary and style-guide control
Domain-expert data
Specialists where errors carry real consequences.
- Healthcare, legal and finance reviewers
- RAG content and knowledge-base review
- Expert fact-checking and validation
Built around the team you are on
The same managed process, set up differently depending on what you are shipping.
AI and ML teams
Training data, human feedback and model evaluation in the languages your users speak, with reviewers who read the output natively.
Localization and language teams
Translation, transcription and subtitle support in regional languages and scripts, working to your glossaries and style guides.
Regulated industries
Healthcare, legal and finance specialists for content where a wrong word has real consequences.
Language, script and local knowledge
Reviewers check script, reading direction and local usage, not just vocabulary. Below are the writing systems we handle, then each language in its own script.
South Asian languages
Global languages
Need a language that is not listed? Tell us your language list and we will confirm coverage.
A managed workflow built for speed and accuracy
Scope
We align on guidelines, languages, volume and acceptance criteria with a dedicated project manager.
Pilot
A small batch proves quality and refines the instructions before scaling.
Scale
Trained contributors and in-house leads ramp up in parallel across languages.
Audit & iterate
Ongoing QA reports and feedback loops keep quality steady as volume grows.
Why AI teams choose TransTech
Native-language experts
Reviewers who understand nuance, dialect and cultural context.
Multi-layer QA
Gold-standard checks, second-pass review and spot audits on every batch.
Human-in-the-loop
People and tooling working together for consistent, auditable output.
Confidential by design
NDA-backed projects with controlled access to your data.
Quality starts before the first batch moves
Screen
Profile review, native-language verification, a domain questionnaire and a sample task before anyone is assigned.
Calibrate
Every team works through the same calibration items before production volume starts.
Pilot
The first batch gets a deep review so instruction drift is caught before scale.
Review
Sampling, second-pass checks and quick feedback loops run throughout production.
Escalate
Critical errors pause the batch for recalibration, replacement or a manager’s review.
Learn
Client feedback updates glossaries, guidelines and contributor profiles for the next batch.
ISO 9001:2015
Quality managementDocumented processes, audits and continual improvement behind every delivery.
ISO/IEC 27001:2022
Information securityManaged controls for access, confidentiality and data handling on client projects.
How we plan, staff and deliver your project
Specialists chosen per assignment
Each proposed team is checked for language, domain, task and availability before work is assigned.
Human review of machine output
Where machine translation or AI drafts are allowed, a named reviewer checks them against the source or the task guidelines.
Availability confirmed first
Send your language list before you agree a date. We tell you what is staffed now and what needs recruiting time.
One point of contact
Translation, transcription, annotation and evaluation can sit under one project manager and one agreement.
Your tools and formats
We work with your file formats, platforms and access rules, and confirm the setup while scoping.
Quotes you can compare
Priced per word, audio hour, approved hour, item or batch, with inclusions written into the proposal.
Flexible ways to start and scale
Free sample
Validate quality on a small batch before committing.
Fixed scope
Clear deliverables, timeline and pricing.
Expert time
Domain specialists billed by the hour.
Managed team
A trained team and manager for ongoing volume.
Frequently asked questions
Which AI projects do you support?
LLM training data, RLHF, model evaluation, multimodal annotation, speech and image data collection, transcription and localization.
Can you work in regional and low-resource languages?
Yes. Our native-language contributor network supports multilingual projects, including regional languages. Share your language list and we will confirm coverage.
How do you maintain quality at scale?
Clear guidelines, gold-standard checks, multi-pass review and regular audits, with feedback loops back to contributors.
Do you offer a pilot?
Yes. We recommend starting with a small pilot batch so you can assess quality and turnaround first.
How is my data protected?
Projects run under NDA with controlled access, and we follow your security requirements where needed.
What do you need to scope a project?
Four things: language pairs, content type, volume and deadline, and the acceptance criteria the output will be judged against. Anything missing has to be assumed, and wrong assumptions are the usual reason a quote and an invoice differ.
How is AI data work different from translation?
Translation carries meaning from a source text, so the source defines what is correct. AI data work (collection, annotation, evaluation) is judged against a task specification, so the acceptance criteria define what is correct. Staffing and QA are designed differently for each.
What if you cannot staff one of my languages?
We tell you before the schedule is agreed, along with any recruitment window. New contributors must pass the project qualification and a pilot before production.
What do the ISO certifications cover?
ISO 9001:2015 covers our quality management system and ISO/IEC 27001:2022 covers information security management. Ask us for the certificates and their scope during procurement.
Build better AI with better human data
Tell us your languages, data types and volume. We will respond with a plan and a pilot proposal.
Talk to our team