NLP Scientist

NLP Scientist

Location: San Francisco, CA

Onsite Flexibility: Hybrid

Contract Details

• Position Type: Contract
• Contract Duration: 4 months
• Pay Rate: $80.00 $100.00 / Hour (USD)
• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Summary

Our client is seeking an NLP Scientist to build evidence-grounded claim verification capabilities for regulated content review workflows. This role will focus on retrieval, claim decomposition, entailment, evidence attribution, citation quality, abstention logic, and human-in-the-loop decision support. The solution will assist expert reviewers by identifying whether generated claims are supported, contradicted, qualified, or insufficiently evidenced.

Key Responsibilities

• Build NLP systems that verify generated claims against approved evidence sources.
• Develop hybrid retrieval, natural-language inference, entailment, claim decomposition, and evidence attribution capabilities.
• Design systems that return support/contradiction/insufficient-evidence decisions with traceable citations.
• Build expert-labeled evaluation datasets, annotation guidelines, and inter-annotator agreement processes.
• Measure false approvals, false rejections, abstention quality, citation quality, and evidence support.
• Design human-in-the-loop workflows, confidence thresholds, escalation paths, and safe failure behavior.
• Ensure prior decisions can be reconstructed using model version, evidence set, and reviewer action.

Required Skills

• Strong Python production engineering with modern NLP frameworks.
• Demonstrated experience in evidence-grounded NLP, retrieval, NLI/entailment, claim verification, and citation/evidence evaluation.
• Experience with scientific, technical, legal, regulatory, or other high-stakes source material.
• Experience building evaluation datasets and measuring whether outputs are genuinely supported by cited sources.
• Experience with vector and lexical retrieval, model APIs, production evaluation infrastructure, and traceable decision systems.
• Ability to work with legal, regulatory, compliance, or expert-review stakeholders.

Preferred Skills

• Experience combining deterministic rules with model judgment.
• Knowledge graphs connecting claims, evidence, references, products, or indications.
• Experience in regulated or high-stakes review environments such as legal, financial compliance, scientific publishing, fact-checking, or life sciences.
• Familiarity with study design, statistical evidence, and citation practices.

Work Environment / Physical Requirements

• Preference for Bay Area based candidates, with ability to work onsite at least 3 days per week.
• Remote candidates must provide 4 6 hours of daily Pacific Time overlap.
• The team's preference is for candidates to be based on the West Coast, ideally in San Francisco. Remote candidates will also be considered, provided they can work Pacific Time hours.

Benefits

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-11385

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