True Talent Solutions Partners

Research Engineer, Evals

San Francisco
Salary
$250,000 - $290,000 annually
Level
Mid
Work type
On-site · San Francisco
Visa
Sponsors visas

Open. First seen 4 November 2026.

Apply on the company's site →

About the role

About the Role

Build evaluation systems for a web data extraction product that turns pages into structured, LLM-ready information. You will shape how quality is measured, create the infrastructure to measure it at scale, and connect evaluation results to model and product decisions.

What You'll Do

  • Design metrics for extraction quality across diverse websites, formats, and edge cases.
  • Build scalable pipelines and evaluation harnesses to measure output quality rigorously.
  • Generate and curate ground-truth datasets for trustworthy evaluation.
  • Close the feedback loop by translating evaluation results into model and product improvements.
  • Make quality results clear and actionable for the broader team.

What We're Looking For

  • Four or more years of relevant engineering experience, including at least two years focused on evaluation work.
  • Experience building evaluations for LLM extraction of unstructured data, measuring whether fields are correctly extracted from messy, real-world pages or documents.
  • Experience building or evaluating large-scale web or document extraction systems and developing evaluation metrics and systems from the ground up.
  • Strong Python skills and experience with machine learning, LLMs, data pipelines, web scraping, NLP, and evaluation frameworks.
  • Statistical rigor in metric design and interpretation, including sampling, significance, estimator bias and variance, error bounds, and judge-to-human agreement.
  • Experience creating ground-truth datasets and using evaluation findings to inform real model or product decisions.
  • A combination of research methodology and hands-on engineering, plus comfort working through ambiguous problems.

Compensation & Benefits

Base salary: $250,000 to $290,000 USD annually. Visa sponsorship is available.

Location

Hybrid, based in San Francisco, California, or Toronto, Canada. The role requires working on-site five days a week.

What this role asks for

Particular to this role

NLP

Rare in True Talent Solutions Partners's other 124 open postings.

Standard for software engineering roles

Python

Common in software engineering postings at any company.

Compared with True Talent Solutions Partners's other open jobs.

The team: Client Roles

This role is one of 125 open in Client Roles. 125 were posted in the last 30 days, including 7 lead roles: the team is hiring the people who run it too.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Python (63 of 125), LLM (48 of 125), TypeScript (44 of 125), React (39 of 125), Machine Learning (31 of 125), JavaScript (27 of 125), AWS (26 of 125)

OTHER ROLES ON THIS TEAM

From the team and dates on True Talent Solutions Partners's own job board.

Posting history

Reposted 3 times since 30 October 2026: a posting for this role in San Francisco was taken down and the role was posted again.

Similar jobs

More jobs like this

SKILLSPython 46,871Machine Learning 19,887LLM 18,619NLP 2,449
PLACESSan Francisco 7,700United States 73,574
COMPANYJobs at True Talent Solutions Partners 125

Is this your posting? Email info@careerholo.com to have it removed.