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Language Data Annotator Jobs (NOW HIRING)

Experience in AI data annotation, evaluation, or QA. What Success Looks Like: * High consistency in ... Feedback that improves annotator performance and overall output quality. * Contribution to a ...

... rate, inter-annotator agreement, and pairwise preference scoring) Client Partnership ... Experience evaluating large language model performance and/or improving model performance via fine ...

Quality Manager, Applied AI

Boston, MA · On-site

$125K - $160K/yr

... the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop ... S. in a quantitative field (CS, Statistics, Data Science, Engineering, Linguistics, HCI) or ...

... the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop ... S. in a quantitative field (CS, Statistics, Data Science, Engineering, Linguistics, HCI) or ...

Minimum capabilities Strong Python production engineering with modern natural language processing ... and inter-annotator agreement Reports error rates by direction, not only aggregate accuracy ...

... the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop ... Repeated misses by a PM or annotator pool lead to documented remediation or replacement. Issues are ...

Senior Product Manager

$129K - $170K/yr

By incorporating robust clinical narrative data, artificial intelligence technology, and measured ... Working knowledge of natural language processing (NLP), machine learning (ML), and the concepts ...

Senior Product Manager

$129K - $170K/yr

By incorporating robust clinical narrative data, artificial intelligence technology, and measured ... Working knowledge of natural language processing (NLP), machine learning (ML), and the concepts ...

Production Manager, Applied AI

Boston, MA · On-site

$110K - $145K/yr

... the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop ... Repeated misses by a PM or annotator pool lead to documented remediation or replacement. Issues are ...

Showing results 21-40

Language Data Annotator information

What is the difference between Language Data Annotator vs Transcription Specialist?

AspectLanguage Data AnnotatorTranscription Specialist
CredentialsBasic computer skills, attention to detailTyping proficiency, language skills
Work EnvironmentData labeling platforms, remote or officeAudio/video transcription, remote or office
Industry UsageAI training, machine learning datasetsMedia, legal, medical transcription
Search IntentCompare roles in data annotationCompare roles in transcription

The main difference is that Language Data Annotators focus on labeling and categorizing language data for AI models, while Transcription Specialists convert audio or video content into written text. Both roles require language skills and attention to detail but serve different purposes within the language processing industry.

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For Language Data Annotator jobs, the most frequently searched job titles are:

Infographic showing various Language Data Annotator job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

AI Quality Control Specialist - Dutch Language (NL)

e2f, inc.
Translation Services • 51 - 200 employees

Full-time

Re-posted 24 days ago


Job description

About the Role:
TrustScale is building scalable, high-quality human-in-the-loop systems to power AI. We are looking for an AI Quality Control Specialist - Dutch Language (NL) who can analyze, validate, and challenge AI-generated outputs with precision and consistency. This is not a proofreading role. You will act as a quality gatekeeper, ensuring outputs meet standards for accuracy, utility, and linguistic quality across large-scale workflows.


What You Will Do:

  • Evaluate AI-generated content in Dutch across multiple task types (annotation, review, validation).
  • Apply structured quality frameworks to assess:
  • Accuracy and factual correctness.
  • Utility (alignment with user intent).
  • Language quality (fluency, tone, clarity).
  • Train vendors
  • Participate Clients Calls


Identify and flag:

  • Hallucinations and misinformation.
  • Logical inconsistencies.
  • Cultural or linguistic mismatches.
  • Provide clear, structured feedback to improve upstream quality.
  • Detect patterns of errors across batches and contribute to quality insights.
  • Support calibration efforts to ensure consistent scoring across teams.
  • Contribute to guideline refinement and evaluation standards.


Who You Are:

  • Professional proficiency in Dutch and strong command of English are required.
  • Highly analytical with strong critical thinking skills.
  • Comfortable working with ambiguous and evolving guidelines.
  • Detail-oriented with the ability to maintain consistency at scale.
  • Clear communicator, able to justify decisions and provide actionable feedback.
  • Naturally skepticalable to question outputs and validate information.


Preferred Background:

  • Journalism, editorial, or investigative research.
  • Linguistics, translation, or localization QA.
  • Content moderation / Trust & Safety.
  • Experience in AI data annotation, evaluation, or QA.


What Success Looks Like:

  • High consistency in quality scoring across tasks.
  • Strong alignment with QA benchmarks.
  • Ability to detect non-obvious quality issues.
  • Feedback that improves annotator performance and overall output quality.
  • Contribution to a scalable, predictable quality system.


Why TrustScale:
At TrustScale, we operate AI talent as a supply chainstructured, measurable, and optimized. You will be part of a system where quality is not subjective, but defined, measured, and continuously improved.


e2f logo

About e2f

Sourced by ZipRecruiter

Industry

Translation services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2004

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