> job detail
S
👽Other
Human Data Manager
SpaceXAI · Palo Alto, California
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Palo Alto, California
languages
python, sql
tools
—
> stack
pythonsql
> education
bachelors
> description
<div class="content-intro"><p><span style="font-family: arial, helvetica, sans-serif;">SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. </span><span style="font-family: arial, helvetica, sans-serif;">Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. </span><span style="font-family: arial, helvetica, sans-serif;">We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. </span><span style="font-family: arial, helvetica, sans-serif;">All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.</span></p></div><h3><strong>ABOUT THE ROLE:</strong></h3>
<p>You will ensure engineering teams get the right data they need—high-quality tasks and evaluations—by crafting and executing high-value Human Data projects. You sit at the intersection of model teams and data operations: partnering with engineering, designing projects that capture meaningful signals, and driving measurement of data impact. This is a hands-on role for people who understand training and evaluation deeply and want to influence data strategy.</p>
<h3><strong>RESPONSIBILITIES:</strong></h3>
<ul>
<li>Partner with model and engineering teams to understand needs and translate them into high-value data projects and evaluation strategies.</li>
<li>Own end-to-end delivery of critical data and evaluation projects that capture meaningful training signals and support rapid model development.</li>
<li>Leverage AI agents and existing platforms to measure data effectiveness and quantify impact (data yield, eval lift, usage).</li>
<li>Maintain rigorous data integrity and truthfulness, including validation processes for factual accuracy; prioritize quality over quantity.</li>
<li>Research and apply techniques for data collection, annotation, generation, and multi-modal integration.</li>
<li>Shape Grok’s behavior and domain performance through targeted data work; improve annotation workflows using agents and no/low-code approaches where helpful.</li>
<li>Manage plans that shape model behavior via data management, optimization, and analysis, including resources and timelines.</li>
<li>Act as a liaison between engineering, technical staff, and tutoring / Human Data teams to drive alignment and knowledge sharing.</li>
<li>Collaborate with Human Data Ops and stakeholders to scale projects, share learnings, and contribute to demand forecasting; report status, insights, and blockers for rapid decisions.</li>
</ul>
<h3><strong>BASIC QUALIFICATIONS:</strong></h3>
<ul>
<li>Bachelor’s degree, or 4+ years of relevant experience in lieu of a degree</li>
<li>Experience collaborating with cross-functional teams (engineering, research, product, or annotation/operations groups)</li>
<li>Demonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems</li>
</ul>
<h3><strong>PREFERRED SKILLS AND EXPERIENCE:<br></strong></h3>
<ul>
<li>Degree in engineering, computer science, data analysis, or a related STEM discipline (Bachelor’s or higher)</li>
<li>Direct experience curating, evaluating, or improving training or evaluation datasets for large language models or other AI/ML systems</li>
<li>Experience designing, supporting, or optimizing annotation workflows or data processes that prioritize factual accuracy and data integrity</li>
<li>Familiarity with multimodal data (text + images, code, or other modalities) or domain-specific data (science, mathematics, programming, recent events, etc.)</li>
<li>Experience with model or dataset evaluations focused on quality, truthfulness, or alignment with product goals</li>
<li>Comfort using AI agents, no/low-code tools, or light scripting (e.g., Python) to prototype workflows and measurement</li>
<li>Experience with SQL or other data analysis tools</li>
</ul>
<h3><strong>ADDITIONAL REQUIREMENTS:</strong></h3>
<ul>
<li>Weekend work may be required.</li>
<li>Travel to other SpaceXAI sites may be required.</li>
</ul>
<h3><strong>COMPENSATION AND BENEFITS:</strong></h3>
<p>$100,000 - $186,000 USD</p>
<p>Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.</p><div class="content-conclusion"><p><em>SpaceXAI is an equal opportunity employer. For details on data processing, view our </em><em><a href="https://x.ai/legal/recruitment-privacy-notice" target="_blank">Recruitment Privacy Notice</a>.</em></p></div>