Infotainment Diagnostics Engineer - AI Trainer
HireArt
Software Engineering, Data Science
United States · Remote
USD 35-50 / hour
Posted on Nov 20, 2025
Apply to A Leader in Retrieval-Augmented Generation (RAG)
Infotainment Log Annotation & Data Labeling Specialist
A Leader in Retrieval-Augmented Generation (RAG)
Location
United States (Remote)
Work environment
Remote
Expected pay amount
35.00 - 50.00 USD Per Hour
Schedule
Flexible: Up to 40 hours per week (EST)
Assignment length
Contract
Job description
HireArt is helping our client find an Infotainment Log Annotation & Data Labeling Specialist to join its team.
About the Role
We’re partnering with a leading AI company that builds advanced models using high-quality, well-structured data. As part of this effort, we are seeking an Infotainment Log Annotation & Data Labeling Specialist with hands-on experience reviewing automotive infotainment system logs.
About the Role
We’re partnering with a leading AI company that builds advanced models using high-quality, well-structured data. As part of this effort, we are seeking an Infotainment Log Annotation & Data Labeling Specialist with hands-on experience reviewing automotive infotainment system logs.
In this role, you’ll review and annotate infotainment device logs to create clean, accurately labeled datasets that support model training, analytics, and engineering workflows. The ideal candidate has technical labeling experience, strong attention to detail, and familiarity with embedded or automotive system logs.
What You’ll Do
What You’ll Do
- Review infotainment device logs and extract key data points, events, and system behaviors.
- Apply structured labels, tags, and metadata using established taxonomies and annotation guidelines.
- Identify issues such as warnings, errors, performance anomalies, connectivity interruptions, media playback issues, or navigation failures.
- Document patterns, edge cases, and notable behaviors to support engineering, QA, and model-training teams.
- Maintain high accuracy and consistency across labeling tasks.
- Provide feedback to improve annotation guidelines, decision trees, and internal tooling.
- Manage your task queue independently in a deadline-driven environment.
Requirements
- CAN protocol expertise-CAN Bus is the core communication network within modern vehicles, including infotainment systems (e.g., iDrive)
- Experience performing root-cause analysis on infotainment logs
- Experience with, or willingness to learn, Mermaid diagrams
- Familiarity with automotive infotainment logs, mobile/embedded system logs, or Android/Linux log structures
- Comfortable interpreting large, unstructured log files (e.g., logcat output, system traces, connectivity logs)
- Highly detail-oriented with strong pattern-recognition skills
- Strong written communication skills for summarizing findings and documenting anomalies
- Experience with annotation platforms, labeling queues, or internal data tools
- Prior experience supporting AI, ML, or data-centric engineering teams is a strong plus
Commitment:This is a remote, ongoing independent contractor position. This role is available to U.S.-based candidates, excluding California and Illinois. Workers may set their hours and schedule.
HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp.
Job description
HireArt is helping our client find an Infotainment Log Annotation & Data Labeling Specialist to join its team.
About the Role
We’re partnering with a leading AI company that builds advanced models using high-quality, well-structured data. As part of this effort, we are seeking an Infotainment Log Annotation & Data Labeling Specialist with hands-on experience reviewing automotive infotainment system logs.
About the Role
We’re partnering with a leading AI company that builds advanced models using high-quality, well-structured data. As part of this effort, we are seeking an Infotainment Log Annotation & Data Labeling Specialist with hands-on experience reviewing automotive infotainment system logs.
In this role, you’ll review and annotate infotainment device logs to create clean, accurately labeled datasets that support model training, analytics, and engineering workflows. The ideal candidate has technical labeling experience, strong attention to detail, and familiarity with embedded or automotive system logs.
What You’ll Do
What You’ll Do
- Review infotainment device logs and extract key data points, events, and system behaviors.
- Apply structured labels, tags, and metadata using established taxonomies and annotation guidelines.
- Identify issues such as warnings, errors, performance anomalies, connectivity interruptions, media playback issues, or navigation failures.
- Document patterns, edge cases, and notable behaviors to support engineering, QA, and model-training teams.
- Maintain high accuracy and consistency across labeling tasks.
- Provide feedback to improve annotation guidelines, decision trees, and internal tooling.
- Manage your task queue independently in a deadline-driven environment.
Requirements
- CAN protocol expertise-CAN Bus is the core communication network within modern vehicles, including infotainment systems (e.g., iDrive)
- Experience performing root-cause analysis on infotainment logs
- Experience with, or willingness to learn, Mermaid diagrams
- Familiarity with automotive infotainment logs, mobile/embedded system logs, or Android/Linux log structures
- Comfortable interpreting large, unstructured log files (e.g., logcat output, system traces, connectivity logs)
- Highly detail-oriented with strong pattern-recognition skills
- Strong written communication skills for summarizing findings and documenting anomalies
- Experience with annotation platforms, labeling queues, or internal data tools
- Prior experience supporting AI, ML, or data-centric engineering teams is a strong plus
Commitment:This is a remote, ongoing independent contractor position. This role is available to U.S.-based candidates, excluding California and Illinois. Workers may set their hours and schedule.
HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp.