Automotive CAN Signal Dataset Generation Contractor

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this project. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build a profile, and apply in minutes.

Creating an OpenTrain account is free, and this role offers an opportunity to contribute specialized automotive knowledge to the development of AI training data.

  • Worldwide remote opportunity
  • Intermediate-level contractor engagement
  • Fixed-price compensation of $2,000
  • Work completed using internal proprietary tooling

About AI Training and Data Labeling

AI training is the human side of building artificial intelligence. People with practical industry knowledge prepare and review examples so AI systems can better understand language, data, and real-world tasks.

In this project, your automotive expertise will help create structured examples that connect natural-language vehicle use cases with the CAN signals needed to investigate or understand them.

  • Contribute to data used to train and evaluate AI systems
  • Apply real-world automotive knowledge to a technical dataset
  • Work remotely with flexible project-based contracting

The Role

OpenTrain AI is seeking an automotive subject expert to generate a training dataset with an internal tool. The dataset will map a natural-language use case description to a list of relevant CAN signals that should be collected to address that use case.

For example, a request such as “I need to understand how the driver uses the sunroof” could be mapped to signals related to the sunroof, driving, vehicle speed, and air conditioning. The work requires understanding which vehicle signals are meaningful for a given question or scenario.

  • Role: Automotive CAN Signal Capturing Dataset Generation Contractor
  • Engagement type: Contractor
  • Experience level: Intermediate
  • Subject-matter expertise in automotive and CAN signals is mandatory
  • Project payment: Fixed price of $2,000

What You'll Do

You will use the internal proprietary tooling to create examples that translate vehicle-related use cases written in natural language into appropriate CAN signal lists. The goal is to identify the signals needed to collect data that addresses each use case.

  • Review natural-language descriptions of automotive use cases
  • Identify the CAN signals relevant to each use case
  • Map each use case to a list of signals in the internal tool
  • Generate structured training data for AI development
  • Use automotive judgment to determine which signals are important

Required Expertise

A subject expert is mandatory for this project. Candidates should understand automotive data and CAN signals well enough to connect diagnostic or operational questions with the vehicle signals that can help answer them.

  • Mandatory automotive subject-matter expertise
  • Mandatory understanding of CAN signals
  • Ability to interpret vehicle use cases and identify relevant data signals
  • Intermediate professional experience level

Preferred Background

The following prior experience is preferred because it can help you recognize which signals matter in different automotive scenarios. These experiences are preferred rather than stated as additional mandatory requirements.

  • Vehicle diagnostics, including understanding which signals help troubleshoot vehicle problems
  • Vehicle insurance, especially using driving data to determine insurance premiums
  • Remote vehicle support, including remotely reading signal data to diagnose problems
  • Working with an OEM data science team

How to Apply Through OpenTrain

Create a free OpenTrain account, build your profile around your automotive and CAN signal expertise, and apply in minutes. If selected, you will complete the contractor project using the provided internal proprietary tooling.

  • Remote participation is available worldwide
  • Highlight relevant automotive diagnostics, insurance, remote support, or OEM data science experience
  • Apply through OpenTrain for consideration
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