Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Head of Dataset & Quality role.

Rezi rewrites your resume against Build AI's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Head of Dataset & Quality posting at Build AI — free, in seconds.

About the Role

You will own whether the dataset is actually solving physical labor by maximizing the bandwidth of net-new learnable information into the dataset. You will define the ideal dataset, the objective function on the current dataset, the taxonomy, and the value function for incremental data, influencing collection strategy.

Responsibilities

Define the ideal dataset for solving physical labor (coverage, diversity, what “done” looks like) and the objective function on what we have now
Design the taxonomy collectors actually use, plus golden sets, acceptance criteria, and audit so quality is measurable
Create the value function for incremental data: given what we have, what is the next example worth?
Turn that into collection strategy (where, which work, how much, when to stop) and into standards ops and vendors execute against
Resist false local optima: extra sensors, extra fidelity, extra process that cuts throughput and net information
Work with marketplace incentives, software, and research so the objective is in the loop — scorecards on coverage, quality, and information, not only volume
Partner with Evals Lead so dataset decisions and model-capability numbers inform each other

Requirements

Quant background (quant research, statistics, decision science, or similar). You think in objective functions and information, not only in label-quality queues
You can argue about scaling vs fidelity with numbers
Experience with dataset design, collection strategy, or large-scale data programs
Fine with in-the-wild collection and a company still scaling countries
Experience at a lab, quant fund, or large-scale data program
You have designed a taxonomy, golden set, or coverage model used in production
Familiarity with in-the-wild collection, video, or pose data
Experience setting quality standards and audit processes that collectors or vendors actually hit

Skills

Objective functions
Information
Scaling vs fidelity
Dataset design
Collection strategy
Large-scale data programs
In-the-wild collection
Taxonomy design
Golden set design
Coverage model design
Video data
Pose data
Quality standards
Audit processes

Location

San Francisco (Financial District)
Shenzhen (Nanshan)

Work Type

In-person

Experience Level

Quant background
Experience at a lab, quant fund, or large-scale data program

Salary/Compensations

Competitive pay

Benefits

Medical, dental, and vision packages with generous premium coverage
$500 per month credit for waiving medical benefits
Housing subsidy of $2k per month for those living within walking distance of the office
Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)
Various wellness benefits covering fitness, mental health, and more
Daily lunch and dinner in our office
Unlimited compute budget subject to ROI justification

About the Company

Build AI is the data hyperscaler for Physical AI. We co-design hardware, collection, infrastructure, and research to scale the physical labor dataset orders of magnitude faster than anyone in the world.
Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.
We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

Equal Opportunity

Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply.