Skill Profile

Named Entity Recognition

Sequence labeling, SpaCy, custom entities, BIO tagging, tokenization

Machine Learning & AI Natural Language Processing

Roles

where this skill appears

Levels

structured growth path

Mandatory requirements

the other 0 optional

Machine Learning & AI

Natural Language Processing

3/17/2026

Choose your current level and compare expectations. The items below show what to cover to advance to the next level.

What is Expected at Each Level

The table shows how skill depth grows from Junior to Principal. Click a row to see details.

Role	Required	Description
NLP Engineer	Required	Knows NER basics: entity types (PER, ORG, LOC), BIO tagging, basic approaches. Applies pre-trained spaCy NER models and evaluates quality via F1-score.

Role	Required	Description
NLP Engineer	Required	Independently trains and fine-tunes NER models for domain-specific tasks. Annotates data, configures BIO/BILOU schemes, trains models on spaCy and Hugging Face transformers.

Role	Required	Description
NLP Engineer	Required	Designs production NER systems: multi-model ensemble, active learning for annotation, nested NER, cross-lingual transfer. Optimizes for high accuracy on domain-specific data.

Role	Required	Description
NLP Engineer	Required	Defines NER strategy for the team. Establishes guidelines for annotation, model selection, evaluation methodology. Coordinates annotator work and ensures labeling consistency.

Role	Required	Description
NLP Engineer	Required	Shapes enterprise NER strategy for the organization. Defines unified entity taxonomy, cross-domain NER approaches, and quality assurance standards for all company NER systems.

Junior 1 requirements

NLP Engineer
Required

Knows NER basics: entity types (PER, ORG, LOC), BIO tagging, basic approaches. Applies pre-trained spaCy NER models and evaluates quality via F1-score.

Middle 1 requirements

NLP Engineer
Required

Independently trains and fine-tunes NER models for domain-specific tasks. Annotates data, configures BIO/BILOU schemes, trains models on spaCy and Hugging Face transformers.

Senior 1 requirements

NLP Engineer
Required

Designs production NER systems: multi-model ensemble, active learning for annotation, nested NER, cross-lingual transfer. Optimizes for high accuracy on domain-specific data.

Lead / Staff 1 requirements

NLP Engineer
Required

Defines NER strategy for the team. Establishes guidelines for annotation, model selection, evaluation methodology. Coordinates annotator work and ensures labeling consistency.

Principal 1 requirements

NLP Engineer
Required

Shapes enterprise NER strategy for the organization. Defines unified entity taxonomy, cross-domain NER approaches, and quality assurance standards for all company NER systems.

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