Others

Senior Traffic Analyst – 14483

Stockholm, Sweden
Onsite
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Maggie M

HR Administrator

maggie@veritaz.se

Job Summary

  • Posted Date

    December 1, 2025

  • Work Type

    Onsite

  • Deadline

    2025-12-04

  • Schedule

    Full-time

  • Location

    Stockholm, Sweden

Job Description

This post is also available in: Svenska (Swedish)

Assignment Description:

We are looking for a Senior Traffic Analyst to join our dynamic team.

What you will work on:

  • Develop and implement evaluation frameworks, scoring rubrics, and multidimensional assessment models to measure the quality of AI-generated and AI-translated content.
  • Create, maintain, and refine datasets, scoring protocols, and language-specific guidelines to ensure accuracy, fluency, and cultural relevance.
  • Collaborate with ML engineers and language experts to calibrate evaluators, analyze model errors, and improve assessment logic.
  • Conduct prompt testing, model calibration, and scoring validation for Generative AI evaluation processes.
  • Identify quality gaps, propose improvements, and contribute to continuous feedback loops that enhance the linguistic performance of AI platforms.
  • Support the training of assessment models and contribute to documentation, process development, and adoption of best practices.

What you bring:

  • Experience in language quality evaluation, applied linguistics, computational linguistics, or similar language-focused research environments.
  • Hands-on experience with LLM evaluation, machine translation assessment, or annotation processes in multilingual contexts.
  • Strong understanding of linguistic and translation assessment frameworks such as MQM, MetricX, or COMET, with experience creating scoring rubrics.
  • Familiarity with Generative AI evaluation methods, including prompt testing, model calibration, and scoring validation.
  • Experience collaborating with ML teams on data pipelines, annotation workflows, or fine-tuning of linguistic evaluators.
  • Deep linguistic and cultural knowledge across multiple markets, with the ability to define and measure content quality for different contexts.
  • Advantageous experience with programmatic QA using Python, YAML, gRPC, or rule-based validation.
  • Advantageous knowledge of inter-rater reliability measurement methods such as Krippendorff’s alpha or Cohen’s kappa, and experience comparing human and AI-generated assessments
  • Fluent in English and Swedish.

If this sounds interesting, please send your CV to cv@veritaz.se 

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