Data Services Analyst II, Labeling (Contract)
Latitude AI
Salary undisclosed
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Description
Latitude AI (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!
#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 this role
Latitude AI, Ford's autonomous driving subsidiary, is seeking a Data Services Analyst II to support its labeling operations team in Pittsburgh. This 12-month contract role focuses on quality assurance for the sensor data that trains the machine learning models powering the company's hands-free ADAS platform, set to debut on the Ford Fathom in 2027. You'll work with proprietary tools to review labeled vehicles, pedestrians, and objects, identify error patterns and data discrepancies, and provide detailed feedback to both internal teams and third-party labeling partners.
The position suits someone detail-oriented who thrives in a startup-paced environment and can maintain focus while reviewing large datasets. Beyond QA work, you'll contribute to tool testing, mentor new team members, document findings in slide decks, flag tooling deficiencies, and escalate quality concerns to your manager. The role requires proficiency with standard office software, strong written and verbal communication, and the ability to report clearly on bugs and labeling trends. A high school diploma or GED plus two years of work experience is required; an associate or bachelor's degree is preferred. Prior exposure to Jira, Confluence, or self-driving companies is a plus but not essential.
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Pay for this role
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