Ukrainian Language Specialist
Job description
About the role
This position focuses on converting deep Ukrainian linguistic expertise into high-quality training data that directly strengthens AI performance for Ukrainian speakers. The role translates nuanced language knowledge into structured evidence that hardens model reasoning and improves reliability for Ukrainian language scenarios. You will verify factual accuracy and logical soundness in model responses to ensure linguistic reliability for Ukrainian language use. The work involves capturing reproducible error traces that provide concrete data to refine prompt engineering and evaluation metrics over time. Success in this role depends on your ability to demonstrate clear, metacognitive communication that shows your work for consistent linguistic judgments. This position is categorized as a contractor engagement within the Meridial team located in Poland. You will play a key role in documenting failure modes, turning them into structured evidence that supports iterative improvements in model performance.
Key facts
What you'll do
Documented failure modes become structured evidence that hardens model reasoning and improves reliability for Ukrainian language scenarios.
Factual accuracy and logical soundness are verified in model responses to ensure linguistic reliability for Ukrainian language use.
Captured reproducible error traces provide concrete data that refine prompt engineering and evaluation metrics over time.
Analyze linguistic data to identify and categorize errors in Ukrainian language model outputs systematically.
Evaluate model responses using expert knowledge of Ukrainian grammar, syntax, morphology, spelling, phonology, and pragmatics.
Transform raw linguistic observations into structured datasets that support measurable improvements in AI performance.
Collaborate with data teams to translate linguistic insights into actionable prompts and evaluation criteria.
Maintain detailed records of linguistic analysis to track error patterns and support reproducibility.
Contribute to the development of linguistic evaluation metrics specific to Ukrainian language nuances.
Ensure that all evidence and documentation adhere to high standards of clarity and precision for ongoing model refinement.
Support the creation of high-quality training data by flagging and explaining complex linguistic edge cases.
Promote best practices in linguistic analysis through clear communication with technical team members.
Assist in the creation of guidelines that help maintain consistency in Ukrainian language data handling.
Participate in the continuous improvement of data collection and analysis processes based on evolving model needs.
Requirements
The posting states a pay range of $8 to $65.
A master's or PhD in Ukrainian language, linguistics, or a closely related field is required for this role.
Expertise in Ukrainian grammar, syntax, morphology, spelling, phonology, and pragmatics must be demonstrated through linguistic analysis in relevant contexts.
Peer-reviewed publications, teaching experience, or hands-on linguistic analysis projects signal fit for sustained evaluation work.
Clear, metacognitive communication showing your work is essential for consistent linguistic judgments and reproducible error tracking.
A secure computer and high-speed internet are required tools for contract performance as a remote contractor.
You must supply your own secure computer and high-speed internet.
Final compensation may differ from the stated pay range after experience and location review.
Practical notes
You must supply your own secure computer and high-speed internet.
Final compensation may differ from the stated pay range after experience and location review.
Typical interview steps
Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study.
Candidates may be asked to design a metric, interpret an experiment, or build a small model.
Some companies give a take-home analysis.
Expect questions about past projects and the business impact of your work.
Interviewers often evaluate how you communicate uncertainty and business impact, not only the math.
Bringing a clean write-up of a past analysis to the interview is well received.
Good to know
Language models evolve from chat tools into engines that support linguistic discovery and analysis.
Linguistic analysis identifies failure modes so models handle Ukrainian writing system nuances correctly and consistently.
Clear documentation of errors strengthens model reasoning and evaluation metrics used in iterative improvements.
This role focuses on language expertise and metacognitive communication rather than software engineering or system deployment.
Nice to have
Questions to ask
Good questions to ask the employer in the interview: what does success look like in the first six months, how is the team structured, what is the current biggest challenge, and how are decisions made.
Asking about growth paths and the review process is also well received.
Employers expect questions, and good ones show preparation.
Career growth
Data careers grow toward senior analyst, staff data scientist, or data engineering lead.
Many professionals specialize in machine learning, analytics, or infrastructure.
Cross-functional work with product and engineering teams becomes more important at senior levels.
The field changes quickly, so continuous learning is part of the job.
Professionals who can translate numbers into decisions tend to advance fastest.