Human Data Strategist

Reflection AI is hiring a Human Data Strategist in New York, United States. Level rates it ; you can apply on Level.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions visa sponsorship.
The posting mentions SQL, Python and prompt engineering among its tools and skills.
Reflection AI has 45 other open roles on Level.
This posting went up in the last few days.

AI in this role

Own data acquisition pipelines and vendor strategies to supply high-quality human data for training LLMs.

sqlpython

prompt-engineeringai-evaluationdata-acquisitionllm-trainingprompt-designdata-analysispipeline-automation

Our Mission

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.

Role Overview

The Data Acquisition Team is responsible for ensuring that Reflection has all the data it needs to train the world’s best models. We're looking for a Human Data Strategist to own the pipelines that turn human expertise into better AI models. You will partner closely with researchers, deeply understand their needs, and source from vendors the data that improves our models’ usefulness and performance.

This role combines program ownership with hands-on work on task design, contributor workflows, data quality frameworks, and success metrics. The ideal candidate brings organizational rigor, technical curiosity, and sound judgment about when to move quickly and when to investigate the details.

What You'll Do

Collaborate with research: Translate critical model capabilities, and researchers’ plans for developing them, into executable data acquisition strategies.
Orchestrate providers: Assess vendors’ capabilities, forecast capacity, define task instructions, acceptance criteria and then hold vendors accountable for quality, delivery, and cost.
Track and optimize campaigns: Build dashboards tracking throughput, turnaround time, acceptance rates, rework, and cost per accepted task. Leverage data analytics to investigate bottlenecks and guide improvements.
Ensure alignment: Experiments and priorities evolve. You will surface vulnerabilities early and turn feedback into concrete changes to subsequent sourcing. Work with research to close the loop; tracking how our data acquisitions improve model capabilities

What We're Looking For

4+ years of experience delivering a portfolio of complex programs and prioritizing across changing research needs.
An understanding of LLM training, evaluation, and prompt design, with the ability to learn unfamiliar research concepts quickly.
Proficiency in SQL for querying datasets and building dashboards, and Python for data analysis, API integrations, and workflow automation.
Clear written communication, strong stakeholder judgment, and a willingness to inspect individual tasks and datasets when the headline numbers do not tell the full story.
High agency, bias towards action, and the ability to drive impact in fast-paced, dynamic, and ambiguous environments
Experience with annotation, expert data collection, human feedback, or AI evaluation is a plus.

What We Offer:

We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.

We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.

Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.

Candidate and Employee Privacy Notice: We collect and process personal data about applicants for the purposes described in our Candidate and Employee Privacy Notice

How we rate this

Human Data Strategist at Reflection AI rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Human Data Strategist is an open job at Reflection AI.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in New York, NY.
The job was posted on October 16, 2026.
Seniority: senior.
Applications are handled by Reflection AI. Apply on Reflection AI

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringAI EvaluationData AcquisitionLLM TrainingPrompt DesignData AnalysisPipeline AutomationSQL

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How do you decide that one model's output is better than another's for a given task?
Tell me about a project where data acquisition was part of your work. What did you do?
Tell me about a project where llm training was part of your work. What did you do?
Tell me about a project where prompt design was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Prompt engineering, AI Evaluation, Data Acquisition, LLM Training, and Prompt Design. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review Check your resume with the ATS resume checker

Get new data jobs (Works on AI ●●●○ or higher) by email

One email a week with the new data jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.