Robotics Writer/Publisher Toronto GTA · New York · San Francisco →

Mecka; Toronto; On-site; CAD 70,000 - 110,000; Full time

Job summary

Mecka AI is seeking a Delivery Ops writer to turn raw dataset deliveries into clear, customer-facing documentation and public posts. You will own dataset cards, data briefs, and accompanying docs with a consistent standard.

You will publish technical posts and case studies, package sample datasets with licensing, and create charts and explainers. A portfolio of published technical writing and ability to read research papers for both experts and buyers are required.

Qualifications

• 3+ years of technical writing, science journalism, or developer documentation, ideally in robotics, ML, or computer vision.
• Able to read research papers comfortably and explain them to experts and buyers.
• Enough Python or SQL to pull numbers and make figures.
• A portfolio of published technical writing.

Responsibilities

• Own the dataset cards, data briefs, and documentation that ship with each delivery, written to a consistent standard.
• Write and publish technical posts, reports, and case studies on datasets, methods, and results.
• Package and publish sample datasets and benchmarks with clear documentation and licensing.
• Turn delivery data into accurate charts, examples, and explainers.
• Run every piece through technical, legal, and customer-confidentiality review before it goes out.

Skills

Technical writing

Research comprehension

Python

SQL

Portfolio

Job description

About Mecka AI

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.

About Delivery Ops

Delivery Ops turns raw captures into datasets customers can train on. We pull and filter episodes against each customer's spec, run every ship gate (quality, privacy, exclusivity, labels), package and ship the data, and report on what was delivered. As volumes grow into hundreds of thousands of hours per program, the team also owns showing the field what this data looks like and why it matters.

About the role

Every dataset we ship needs to be understood: by the customer receiving it and by the field deciding whether to work with us. You will write and publish the material that explains our data, from the documentation that ships with each delivery to the public technical posts that show what the data can do.

What you'll do

Delivery documentation

Own the dataset cards, data briefs, and documentation that ship with each delivery, written to a consistent standard.

Technical publishing

Write and publish technical posts, reports, and case studies on our datasets, methods, and results.

Public sample releases

Package and publish sample datasets and benchmarks with clear documentation and licensing.

Figures and analysis

Work with research and delivery to turn delivery data into accurate charts, examples, and explainers.

Review

Run every piece through technical, legal, and customer-confidentiality review before it goes out.

What you bring

• 3+ years of technical writing, science journalism, or developer documentation, ideally in robotics, ML, or computer vision.
• You read research papers comfortably and explain them accurately to both experts and buyers.
• Enough Python or SQL to pull your own numbers and make your own figures.
• A portfolio of published technical writing.

Even better if you have

• Research or engineering experience in robotics or ML.
• Experience publishing datasets or models on public platforms.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.

We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.