Norwegian-Speaking AI Training QA Lead

As a Norwegian AI Training QA Lead, you will review AI-generated Norwegian content and trainer quality assurance work across AI training projects. You will use project guidelines and rubrics to check quality, explain issues clearly, and help contributors stay aligned as requirements change.

You will also support Norwegian-language quality workflows by sharing updates, maintaining guidance materials, and helping improve processes for trainers and reviewers.

• Review Norwegian AI content and trainer QA work for accuracy, fluency, grammar, spelling, tone, cultural fit, meaning, formatting, and instruction-following.
• Find repeated quality problems and give clear written feedback to trainers and QAs.
• Communicate project updates, workflow changes, and quality expectations to remote contributors.
• Support onboarding, training calls, documentation, trackers, FAQs, style guides, and quality notes.
• Help manage contributor activation and improve Norwegian-language quality processes.

What it pays and takes

This is a part-time contractor role for candidates based in Norway. The role is listed as entry level, while experience supporting remote trainers, reviewers, editors, or QAs is preferred.

• Pay: $60 per hour.
• Time: 20+ hours per week.
• Location: Norway only.
• Languages: Fluent Norwegian and strong English communication skills.
• Writing: Strong Norwegian reading and writing skills, including comfort with Bokmål and/or Nynorsk.
• Experience: Norwegian writing, editing, translation, localization, content QA, AI training, education, or annotation experience.
• Knowledge: Norwegian grammar, spelling conventions, tone, register, and cultural context.
• Communication: Ability to use English guidelines, provide feedback, and coordinate with contributors.

How it works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI training work

AI training work uses human review to help AI systems produce better results. People with strong language and subject knowledge are paid to check model output, explain problems, and prepare reliable examples for future systems.