Tibetan Language AI Trainer (Remote, Contract)

About OpenTrain

OpenTrain is the centralized platform where people build careers in AI training and data labeling. We help language specialists find projects, track work across platforms, and grow a unified portfolio of AI-training experience.

Why AI training in language matters

Human language work (translation, review, annotation, and evaluation) is how modern AI systems learn to understand and generate natural speech and text. Contributing Tibetan language expertise helps models handle real-world usage, cultural nuance, and accurate terminology — work that directly shapes how state-of-the-art systems perform for Tibetan speakers.

The role

OpenTrain is hiring a Tibetan language specialist for contractor work with OpenTrain to support Tibetan language processing. This is a remote, part-time contractor role with a typical commitment of 20+ hours per week. You will work on text data—translating, annotating, editing, and evaluating Tibetan content to improve model quality and dataset standards.

• Employment type: Contractor, part-time
• Time commitment: 20+ hours/week
• Location: Remote; worldwide applicants welcome
• Language required: Native proficiency in Tibetan (bo)

What you'll do

Tasks combine translation, quality review, linguistic annotation, and evaluation. You will collaborate with AI trainers and linguists to refine Tibetan datasets and create guidance that improves consistency and cultural appropriateness.

• Translate, review, and edit Tibetan content for accuracy and cultural fit
• Add detailed linguistic annotations to AI-generated Tibetan text
• Label entities and apply NER/classification tags in Tibetan text
• Rate and evaluate model outputs to guide improvements
• Help develop quality benchmarks and annotation guidelines
• Provide written and verbal feedback to remote, cross-functional teams

Tools, data, and labeling

You will work with text data in a labeling environment provided by the project team. The work includes translation/localization tasks, entity/NER classification, and evaluation/rating of model outputs. The specific labeling software will be supplied during onboarding.

• Data type: Text
• Labeling tasks: Translation/localization, entity NER/classification, evaluation/rating
• / project-specific tools provided

Requirements

We are looking for careful communicators with strong Tibetan language skills and a practical comfort with digital tools. Prior AI experience is not required — we provide guidance for contributors new to model training work.

• Native proficiency in Tibetan (bo)
• Strong written and verbal communication in Tibetan
• Familiarity with digital tools for translation and language data management
• High attention to detail and consistency
• Comfort collaborating remotely with distributed teams
• No prior AI training experience required

Helpful background

Applicants with translation, editing, or linguistic analysis experience will be especially well suited to this role. Experience giving structured feedback on text quality or evaluating machine-generated outputs is a plus but not required.

• Experience in translation, copyediting, or linguistic annotation
• Comfort providing structured feedback on text quality and model outputs

Pay, schedule, and logistics

Compensation is hourly at $40–$95 per hour. This contractor role offers flexible scheduling to fit part-time availability. Worldwide applicants are welcome; specific scheduling or overlap expectations will be shared during screening and onboarding.

• Pay: $40 to $95 per hour (hourly contractor)
• Schedule: Flexible, 20+ hours/week typical
• Location: Fully remote; worldwide

How to apply

Create an OpenTrain account (free), complete your language and experience profile, and apply to this role. You will be asked to demonstrate language proficiency and complete a short screening or sample task as part of onboarding. Successful applicants will receive project details, tooling instructions, and annotation guidelines.

• Sign up on OpenTrain and submit your profile and application
• Complete any short screening or sample task requested by the project
• Onboard with project-specific tools and guidelines