Automotive Engineering AI Trainer

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people discover opportunities to teach and improve advanced AI systems.

Creating an OpenTrain account is free, and candidates can apply in minutes. This contractor opportunity is remote and structured for part-time work.

• Contractor position with part-time employment type
• Pay: $40 USD per hour
• Time requirement: less than 20 hours per week
• Working language: English
• Remote opportunity listed as worldwide, subject to location restrictions

About AI Training Work

AI training is the human side of building artificial intelligence. Specialists review examples, test model reasoning, write better responses, and provide structured feedback so AI systems become more accurate, useful, and reliable.

In this role, your automotive engineering judgment will help evaluate technical AI behavior across vehicle systems, engineering calculations, controls, electronics, and manufacturing topics.

• Work directly with cutting-edge AI development
• Apply professional expertise to model evaluation and improvement
• Perform flexible, remote work around your existing schedule

The Role

OpenTrain AI is seeking an Automotive Engineering QA / AI Trainer with at least 3 years of professional automotive engineering experience and practical Python skills. The role is listed at entry level and is performed as a part-time contractor position.

You will review and audit automotive engineering prompts and model responses. The work requires careful evaluation of calculations, equations, design rationale, technical notation, units, clarity, and rigor.

• Rate prompts and responses against detailed quality rubrics
• Identify errors in engineering reasoning and technical conclusions
• Draft improved prompts and solutions
• Give constructive feedback that helps improve AI outputs
• Switch efficiently among different automotive engineering topics

What You'll Evaluate

Assignments may cover a broad range of automotive engineering subjects. You should be comfortable assessing step-by-step reasoning, calculations, design trade-offs, and relevant standards across these areas.

• Vehicle dynamics
• Powertrain and electrification
• Control systems
• Embedded systems, ECUs, and CAN
• Automotive electronics
• ADAS and functional safety
• Manufacturing and quality
• Python-based analysis and validation

Requirements

You must have at least 3 years of professional experience in automotive engineering or a closely related field, along with a bachelor's degree. A master's degree or PhD is strongly preferred. Strong written English and clear, concise technical writing are required.

Practical Python ability is required for analysis and validation, including quick checks, notebooks, or basic scientific-stack workflows. You should be able to assess equations, engineering reasoning, design trade-offs, standards, notation, and units with meticulous attention to detail.

• Professional experience in vehicle systems, powertrain, controls, electronics, or a similar automotive engineering area
• Bachelor's degree required
• Master's degree or PhD strongly preferred
• Practical Python for analysis and validation
• Strong written English
• Ability to follow detailed QA rubrics and change topics quickly
• Reliable computer and internet connection
• Ability to pass an AI interview and QA test

Preferred Background

Teaching, lecturing, or training experience is a strong plus. Previous experience with content review, large language model quality assurance, reinforcement learning from human feedback, or supervised fine-tuning is also beneficial, but not required by the source requirements.

• Teaching, lecturing, or professional training experience
• Prior LLM QA, RLHF, or SFT experience
• Experience explaining technical concepts clearly and constructively

Location Eligibility and Application

This opportunity is listed as worldwide, but candidates must verify their location at the start of the interview. Do not proceed if you are located in any restricted location below.

• Restricted countries and territories: Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar, Switzerland, China, Taiwan, Kenya, Armenia, Israel, Kazakhstan, UAE, Netherlands, Serbia, Kyrgyzstan, Turkey, Uzbekistan, Belarus, Russia, Ukraine, Abkhazia, or South Ossetia.
• Restricted US states: Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Hawaii, Illinois, Indiana, Kansas, Louisiana, Maine, Maryland, Massachusetts, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, Ohio, Oregon, Tennessee, Utah, Vermont, Washington, West Virginia.
• Restricted locations: Antarctica, Aruba, Åland Islands, Saint Barthélemy, Bonaire, Sint Eustatius and Saba, Bouvet Island, Cocos (Keeling) Islands, Democratic Republic of the Congo, Cook Islands, Christmas Island, Western Sahara, Falkland Islands (Malvinas), French Guiana, Guadeloupe.
• Additional restricted locations: South Georgia and the South Sandwich Islands, Heard Island and McDonald Islands, British Indian Ocean Territory, Northern Mariana Islands, Martinique, New Caledonia, Norfolk Island, Niue, French Polynesia, Saint Pierre and Miquelon, Pitcairn.
• Additional restricted locations: Réunion, Saint Helena, Ascension and Tristan da Cunha, Svalbard and Jan Mayen, Sint Maarten (Dutch part), French Southern Territories, Tokelau, United States Minor Outlying Islands, Holy See, Virgin Islands (British), Wallis and Futuna, Mayotte.
• Apply through OpenTrain AI if you meet the experience, education, Python, English, and location requirements.