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SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. 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. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: 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 engineering and data operations: partnering with model teams, designing projects that capture meaningful signals, and driving data yield and eval lift. This is a hands-on technical role for engineers who deeply understand training and evaluation and want to influence data strategy. RESPONSIBILITIES: Partner with model and engineering teams to understand needs and translate them into high-value data projects and evaluation strategies. Own end-to-end delivery of critical data and eval projects that capture meaningful training signals and support rapid model development. Build tools and systems to measure data effectiveness (data yield, eval lift, usage), and run evaluations yourself to continuously improve quality. Maintain rigorous data integrity and truthfulness, including validation processes for factual accuracy; prioritize quality over quantity. Research, implement, and evaluate techniques for data collection, annotation, generation, and multi-modal integration. Shape Grok’s behavior and domain performance through targeted data work. Design and improve annotation workflows, labeling interfaces, and related tools with a focus on data quality and integrity. Act as a liaison between engineering, technical staff, and tutoring / Human Data teams to drive alignment and knowledge sharing. 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. BASIC QUALIFICATIONS: Bachelor’s degree in engineering, computer science, or a related STEM discipline, or 4+ years of experience in lieu of a degree Experience collaborating with cross-functional teams (engineering, research, product, or annotation/operations groups) Demonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems PREFERRED SKILLS AND EXPERIENCE: Master’s degree or higher in a relevant technical field Direct experience curating, evaluating, or improving training or evaluation datasets for large language models or other AI/ML systems Experience designing, supporting, or optimizing annotation tools, labeling interfaces, or data workflows that prioritize factual accuracy and data integrity Familiarity with multimodal data (text + images, code, or other modalities) or domain-specific data (science, mathematics, programming, recent events, etc.) Experience conducting model or dataset evaluations focused on quality, truthfulness, or alignment with product goals Experience in a scripting language like Python Experience in SQL or other data analysis tools ADDITIONAL REQUIREMENTS: Weekend work may be required. Travel to other SpaceXAI sites may be required. COMPENSATION AND BENEFITS: $144,000 - $270,000 USD 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. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.