Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
Robotics will become the largest industry in human history — larger than anything that has come before it. As intelligent machines move into the physical world, they will dramatically expand global GDP, raise the material standard of living for everyone, and ultimately help make humanity a multiplanetary civilization. None of that happens without one thing: enormous amounts of high-quality, real-world data.
Mecka AI builds that foundation. We are the data infrastructure layer for robotics and embodied AI — the substrate that teaches machines to perceive, reason, and act in reality. Get this right, and we accelerate the most important technological transition of our time.
Excellence as the baseline. We hold an extremely high bar and expect the best work of your career. Mediocrity isn't interesting to us.
Highly technical. We reason from first principles, not by analogy. The best argument wins — regardless of title or tenure.
Truth-seeking. We are relentlessly honest with ourselves and each other. We chase reality — measured, not assumed — and kill our own bad ideas fast.
Maniacal urgency. The work matters and the clock is real. We move fast, ship, measure, and iterate.
Extreme ownership. You own outcomes end-to-end — no hand-offs, no excuses, no waiting for permission.
Hardcore. This is a high-intensity environment for people who want to do the defining work of their lives.
We're hiring a Data Delivery Lead to turn our raw captured, labeled, and validated data into the exact deliverable a frontier robotics lab pays for — assembled correctly, validated ruthlessly, and documented clearly.
This is a hands-on, data-native role. You come from a data analytics or data engineering background and are fluent in SQL and working with large, messy datasets. You'll live at the seam between our internal data systems and our customers' specs: translating what a lab asks for into concrete queries and quality gates, pulling and packaging the final cut, running it through validation before anyone else sees it, and producing the reports and catalogs that ship alongside it.
You make sure that when a deliverable leaves Mecka, it is exactly right — and that we are our own strictest customer long before the actual customer opens the box.
The role blends deep data analysis with technical delivery ownership. You won't necessarily write production pipelines day-to-day, but you'll understand our data stack well enough to direct engineering, query it directly, and catch problems no dashboard would surface.
Pull the final delivery cut from our internal data systems (document and columnar databases, and file stores)
Format data to each customer's schema; generate manifests, indexes, and packaging
Stage and hand off deliveries to customer buckets and cloud storage reliably and reproducibly
Own the mechanics of the drop end-to-end, so nothing ships half-assembled
Run every deliverable through Mecka's ship-gates before it goes out
Design and execute validation: coverage stats, stratified sample audits, schema compliance, quality-drift detection
Set an internal acceptance bar higher than the customer's own QC — catch it here, never there
Build and maintain golden reference sets and repeatable checks so quality is measured, not assumed
Turn a customer's data specification into concrete, testable gates and queries
Translate back into what capture, labeling, and CV operations must actually produce to hit that spec
Serve as the technical interpreter between customer requirements and internal execution
Produce delivery reports, data catalogs, sample packs, and schema documentation that accompany each drop
Keep a canonical "our strongest work, today" reference pack always current
Make the quality and shape of the data legible to a technical customer at a glance
Track delivery performance against timelines and SLAs; ensure they're consistently met
Identify bottlenecks in the assembly-to-ship path and drive them out
Ensure the delivery process scales as volume and customer count grow
Partner with data capture, labeling operations, and engineering to close spec gaps
Own delivery communication with internal teams and external customers
Keep timelines, risks, and deliverable status transparent to everyone who needs it
REQUIRED EXPERIENCE
1–3 years in data analytics, data engineering, analytics engineering, or a similarly data-heavy role
Fluent in SQL; comfortable querying and reshaping large, imperfect datasets independently
Working proficiency with a scripting language (Python preferred) for data manipulation, validation, and automation
Solid grasp of data pipelines, schemas, and data-quality concepts
Proven ability to own a data workflow or deliverable end-to-end
Excellent communication and stakeholder-management abilities
STRONG SIGNALS
Experience in fast-paced startups or high-growth environments
Exposure to ML / AI training data, data labeling, or dataset delivery
Experience with NoSQL / document stores and/or columnar analytics databases (e.g. ClickHouse, BigQuery, Snowflake)
Built QA / validation tooling or data-quality checks
Strong intuition for prioritization and tradeoffs between speed, quality, and cost
YOU ARE
Rigorous and detail-obsessed — you find the error before the customer does
Structured in your thinking but flexible in execution
Comfortable operating in ambiguity and fast-changing environments
Data-native — your instinct is to measure, not assume
Calm under pressure, able to run multiple deliveries in parallel without dropping quality
WHY THIS ROLE
Own the last mile that every customer relationship ultimately depends on
Sit at the intersection of data engineering, operations, and customer delivery
Directly shape how Mecka defines and defends "gold-standard" data quality
High visibility and direct exposure to leadership and customers
Build the systems that let Mecka's delivery scale globally
Inclusive Hiring at Mecka
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Use of Artificial Intelligence in Recruitment
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
Compensation Range: CA$140K - CA$180K
