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Junior Natural Language Processing Engineer
Remote Full-time 0-2 years Bachelor's Degree
Apply for this Position Position Overview
We are looking for a junior NLP engineer who finds language genuinely interesting — including the parts that make it hard to process. You will build text components under review, curate datasets, and learn to measure whether a language model output is actually right rather than merely fluent.
Key Responsibilities
- Implement well-scoped text processing components under review: normalization, tokenization, and cleaning.
- Build and evaluate baseline text classifiers and entity extractors.
- Prepare and curate annotated datasets, and measure annotator agreement where it matters.
- Run fine-tuning and evaluation jobs and record the configuration and results properly.
- Write evaluation scripts for language tasks — precision and recall per class, not a single accuracy number.
- Handle the awkward parts of Turkish and multilingual text: casing, diacritics, agglutination, and encoding.
- Reproduce a reported result yourself before trusting it.
- Learn how the language components fit into the product around them.
Skills & Qualifications
- 0-2 years in an NLP, ML, or software role, or a strong internship or research project.
- Python plus one deep learning framework such as PyTorch, and familiarity with Hugging Face libraries.
- NLP fundamentals: tokenization, embeddings, sequence labelling, and text classification.
- Evaluation literacy for language tasks — precision, recall, F1, and reading a confusion matrix.
- Some linguistic intuition: morphology, ambiguity, and why a naive split breaks Turkish.
- Git workflow and reproducible experiment habits.
- Bachelor's degree in computer science, linguistics, or a quantitative field, or equivalent grounding.
Nice to Have
- Hands-on work with Turkish text specifically.
- Exposure to embeddings and vector search.
- Experience with annotation tooling or running an annotation round.
- Any experience fine-tuning a transformer model, even on a small dataset.
What You'll Gain
- Competitive salary.
- Fully remote — work from wherever you're most productive.
- Annual learning budget for books, courses, and conferences.
- Top-tier hardware and software tooling.
- Private health insurance and flexible time off.
Apply for this Position
Send your CV and a short cover letter. We'll reply by email.
Apply for this Position