---
title: 'Data Services Analyst II, Labeling (Contract) at Latitude AI'
canonical: 'https://feeny.ai/job/data-services-analyst-ii-labeling-contract-latitude-ai-pittsburgh-xfcqddatv1sf'
type: 'job'
last_seen: '2026-09-20'
---

# Data Services Analyst II, Labeling (Contract) at Latitude AI

- **Company:** Latitude AI
- **Location:** Pittsburgh, PA
- **Posted:** 2026-09-16
- **Last confirmed live:** 2026-09-20
- **Apply:** https://job-boards.greenhouse.io/latitude/jobs/8207723

## Job description

Latitude AI ([lat.ai](http://lat.ai)) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027.

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to redefining the relationship between people and their vehicles for millions of customers.

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The Labeling Operations team is responsible for producing high quality labels to train our deep learning model. We label vehicles, pedestrians, and other objects, assess label quality and impact on performance, and continuously deliver data that allows for the continuous iteration and improvement of our product.

The more team members learn, the better they can review and analyze the data we collect. This helps ensure our output is the best possible input for everything from identifying a stop sign to detecting another car in the distance.

We are looking for a driven analyst to contribute to the development of our automated driving technologies. In this role, you will work with in-house tools to label sensor data coming directly from the Latitude fleet. The perfect candidate for this role is someone who is able to adapt in a fast-paced work environment, has a strong attention to detail, and has experience with computers and other software.

This contract will be 12 months in length.

What you’ll do:

- Perform quality assurance (QA) work efficiently at a high level
- Flag error trends and data discrepancies
- Contribute to training, policy, and tool testing
- Provide feedback and mentor new team members
- Perform specialized projects under the guidance of manager while balancing QA work
- Provide detailed feedback to our third party team
- Compile visuals in forms of slide decks and clarification documents
- Call out and demonstrate tooling deficiencies
- Escalate quality concerns

What you'll need to succeed:

- Experience with Google Workspace, Microsoft Office, or a similar suite of tools
- Strong communication skills, written and verbal
- Attention to detail
- Ability to maintain prolonged focus and attention to detail while sampling large volumes of data
- The ability to report with clarity on bugs in tools, sample data, and labeling trends
- High School Diploma or GED equivalent with two years of employment experience required. Associate or Bachelor’s Degree preferred.

Nice to have:

- A basic understanding of Jira or other workflow management tools
- A basic understanding of Confluence or other wiki platforms
- Previous experience working for a self-driving company
- Enthusiasm for the autonomous vehicle / self-driving space

Learn more about Latitude’s team, mission and career opportunities at [lat.ai](https://lat.ai/)!

## #LI-NC1

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

## About Latitude AI

## Company Overview
- **One-liner**: Latitude AI is a wholly owned Ford subsidiary developing automated driving technologies to democratize autonomy and transform travel to be safer, less stressful, and more enjoyable.
- **Entity Type**: Private (wholly owned subsidiary of Ford Motor Company)
- **Headquarters**: Pittsburgh, PA, USA
- **Founded**: 2023
- **Founders**: Sammy Omari (CEO) and Peter Carr (CTO) are key leaders; the company was formed by Ford from its earlier autonomous driving assets.

## Core Business
- Primary industry: Automotive / Autonomous Driving (Technology, Information and Internet)
- Target customers: B2B – Ford Motor Company, with the goal of integrating ADAS into Ford vehicles for millions of consumers across all price points.
- Mission: Democratize autonomy and transform travel to be safer, less stressful, and more enjoyable for everyone.

## Products & Services
- **Next-Generation ADAS Platform**: A unified L2-to-L3 automated driving system built entirely in-house, from ML training on internal GPU data centers to optimized on-vehicle compute. The platform will debut on Ford’s all-new Universal Electrical Vehicle Platform in 2027.
- **Full-Stack Autonomy Software**: Includes perception, prediction, motion planning, behavior planning, multi-object tracking, and safety systems.
- **Off-Vehicle ML Ecosystem**: Proprietary tools for data collection, labeling, testing, and validation to support rapid iteration and scaling.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private subsidiary of a public company)
- **Key Metric**: Headcount of approximately 550 employees (LinkedIn reports 514 as of mid-2026, with +7.6% YoY growth)
- **Notable Investors/Partners**: Sole owner is Ford Motor Company. Partners include Ford’s internal engineering and manufacturing teams.
- **Growth Signals**: Active hiring with 36–39 open job postings (178.6% YoY increase in postings); new offices in Greenville, SC and Allen Park, MI; plan to launch first product on Ford’s 2027 EV platform; headcount growing at 7.6% annually.

## Competitive Advantages
- **Best of both worlds**: Operates with the speed and agility of a startup while backed by Ford’s scale, manufacturing expertise, and capital.
- **Full-stack ownership**: Develops everything in-house (compute, ML, on-vehicle software, sensor hardware, test infrastructure), enabling tightly integrated, cost-optimized systems.
- **Focus on affordability**: Building autonomy for all price points – not just luxury vehicles – by reducing system complexity and cost.
- **Experienced team**: Led by robotics and ML experts with backgrounds at Waymo, Motional, Zoox, Aurora, and other autonomy leaders.

## Strategic Focus
- Deliver a unified L2-to-L3 automated driving platform for Ford’s next-generation electric vehicles (starting 2027).
- Scale the platform across millions of vehicles, making hands-free and eventually point-to-point autonomy accessible to a mass market.
- Maintain an aggressive, startup-style development cadence within a stable corporate parent.

## Why Work Here
- **Culture**: Mission-driven, inclusive, and collaborative. Emphasizes solving hard real-world AI problems with real impact on millions of drivers.
- **Autonomy & ownership**: Engineers own the full lifecycle – from ML training to vehicle integration – giving them massive technical influence.
- **Work-life balance**: Unlimited vacation, 15 company holidays, monthly wellness stipends, and initiatives to rest and recharge.
- **Office perks**: Daily lunches, snacks, and beverages at all locations.
- **Family support**: Paid medical and parental leave, adoption/surrogacy support, backup child/elder care, pet insurance.
- **Vehicle perks**: Discount and reimbursement programs for Ford vehicle purchase or lease.
- **Professional development**: Career planning, formal mentorship, 360° feedback, and a professional development reimbursement program.
- **Compensation**: Highly competitive pay, employer-matched 401(k) with immediate vesting, health/dental/vision insurance.
- **Diversity & inclusion**: Employee Resource Groups (Immigrants, Veterans, Women, Parents, REM, Neurodiversity, etc.) to ensure diverse perspectives shape the technology.
- **Work model**: Hybrid/office presence expected; offices in Pittsburgh (HQ), Dearborn/Metro Detroit, Palo Alto, and Greenville. Some roles may offer remote flexibility.

## Sources
1. [lat.ai](https://lat.ai/)
2. [lat.ai/about](https://lat.ai/about)
3. [lat.ai/careers](https://lat.ai/careers)
4. [Greenhouse job board](https://job-boards.greenhouse.io/latitude)
5. [LinkedIn - Latitude AI](https://www.linkedin.com/company/latitudeai)

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