Description review

Quality Control Specialist (AI Training)

TSMG · Ukraine · back to the listing

HR standards

55/100

needs work

Title ↔ description

61/100

needs work

Reads as

QA Engineer

81% confident

What this role officially is

software tester — ESCO, the EU occupation classification

Software testers perform software tests. They may also plan and design them. They may also debug and repair software although this mainly corresponds to designers and developers. They ensure that applications function properly before delivering them to internal and external clients.

Also known as: application software tester, unit tester, application tester, software application tester, tester, module tester

How others title the same work

Large employers

  • Senior Software Quality Engineer Adobe
  • Distributed Systems Testing Software Engineer, Python / Go Canonical
  • Ubuntu Linux Kernel Test Engineer Canonical
  • Distributed Systems Testing Software Engineer, Python / Go Canonical Ltd.
  • Ubuntu Linux Kernel Test Engineer Canonical Ltd.

Startups

  • Software Engineer, QA & Test Automation AviaryAI

What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

We are seeking a meticulous and detail-oriented Quality Control Specialist to join our team focused on training AI agents. In this role, you will be responsible for ensuring the quality and integrity of the work performed by individuals testing AI agent. By asking questions and requests, based on various categories (the training is provided), they will try to force the AI agent to say something harmful, offensive, dangerous or toxic and evaluate it’s responses.

The end goal is to prevent AI agent from sharing any harmful, offensive, dangerous or toxic content to the end users and make it safer.

Your primary objective will be to review and assess the questions and requests created by the team, as well as the evaluations, to maintain high standards of data integrity and accuracy.

Full online training is provided.

Key Responsibilities:

• Review prompts and evaluations from Human and Evaluator roles for accuracy and adherence to guidelines.

• Provide clear and actionable feedback to ensure high-quality data for AI training.

• Collaborate with stakeholders to refine quality control processes and documentation.

• Stay informed about industry trends to continuously improve quality control measures.

Qualifications:

• Fluency in Portuguese\French\Spanish\Italian\Arabic\German is essential; proficiency in English is required for internal communication and training.

• 1+ years of experience in quality control, content moderation, or a related role, preferably within the context of AI-driven projects.

• Strong attention to detail and analytical skills, with the ability to identify inconsistencies and discrepancies in data.

• Excellent communication skills, both written and verbal, with the ability to provide clear and constructive feedback.

• Demonstrated ability to work independently and collaboratively in a fast-paced, dynamic environment.

• Familiarity with AI technologies, natural language processing, and conversational AI systems is a plus.

If you are passionate about ensuring the quality and reliability of AI systems and possess a keen eye for detail, we encourage you to apply for this exciting opportunity.

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 8 points (from 63 before penalties). Reviewed 21 Sep 2026.