About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain helps people build careers in AI training and data labeling, connecting skilled contributors with projects that shape how modern AI systems learn and respond.

Creating an OpenTrain account is free, and candidates can apply in minutes. This is a remote, part-time contractor opportunity with work available for less than 20 hours per week.

• Contractor engagement
• Part-time schedule of less than 20 hours per week
• Remote work with worldwide availability subject to location restrictions
• $40 USD per hour

About AI Training and Model Evaluation

AI training is the human side of building artificial intelligence. Specialists review examples, assess model responses, identify errors, and provide better answers so AI systems become more accurate, useful, and reliable.

In this project, your automotive engineering judgment will help evaluate technical reasoning across vehicle systems, controls, electrification, embedded systems, and related topics. Your feedback can directly influence how advanced AI handles engineering questions.

• Review and rate AI-generated technical content
• Check equations, calculations, units, and design rationale
• Write improved prompts and solutions
• Provide clear, constructive feedback using detailed rubrics

The Automotive Engineering QA AI Trainer Role

As an Automotive Engineering QA AI Trainer, you will review and audit automotive engineering prompts and model responses. The work requires practical engineering knowledge, strong technical writing, and the ability to determine whether step-by-step reasoning is accurate, rigorous, and clearly explained.

The role is listed as entry level, but applicants must have at least three years of professional experience in automotive engineering or a closely related field, along with practical Python experience.

• Focus areas include vehicle dynamics, powertrain, and electrification
• Evaluate control systems, embedded systems, ECU and CAN topics
• Review electronics, ADAS, and functional safety content
• Assess manufacturing and quality-related engineering responses
• Use Python for quick checks, analysis, validation, or notebooks

What You'll Do

You will assess whether AI-generated answers correctly apply automotive engineering principles and communicate their reasoning effectively. You may move between different technical subjects quickly while following project-specific quality standards.

The work combines technical review, evaluation, and response improvement. Strong attention to notation, units, assumptions, equations, trade-offs, and standards will be important when deciding whether a response meets the required level of quality.

• Review automotive engineering prompts and model responses
• Verify calculations, equations, and technical assumptions
• Evaluate design rationale and engineering trade-offs
• Rate responses against QA rubrics
• Draft improved prompts, solutions, and explanations
• Give concise, constructive feedback on technical accuracy and clarity

Requirements and Preferred Experience

Applicants need a bachelor's degree and at least three years of professional experience in automotive engineering, vehicle systems, powertrain, controls, electronics, or a similar area. A master's degree or PhD is strongly preferred.

You should be comfortable evaluating engineering reasoning, equations, design trade-offs, and standards. Prior teaching, lecturing, training, content review, LLM quality assurance, RLHF, or supervised fine-tuning experience is beneficial but not required.

• 3+ years of professional automotive engineering or closely related experience
• Bachelor's degree required
• Master's degree or PhD strongly preferred
• Practical Python for analysis or validation, including basic scientific tools
• Strong written English and clear technical writing
• Meticulous attention to notation, units, and engineering detail
• Ability to switch topics quickly and follow detailed QA rubrics
• Reliable computer and internet connection
• Ability to pass an AI interview and QA test

Location Eligibility

The project is marked worldwide, but applicants must verify their location at the start of the interview. Do not proceed if you are located in any restricted location listed below: 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, South Ossetia; or the US states of 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.

Additional restricted locations include 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, 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, Réunion, Saint Helena, Ascension and Tristan da Cunha, Svalbard and Jan Mayen, Sint Maarten, French Southern Territories, Tokelau, United States Minor Outlying Islands, Holy See, British Virgin Islands, Wallis and Futuna, and Mayotte.

• Location eligibility is verified at interview start
• Worldwide availability does not override project restrictions
• Applicants must have a reliable computer and internet connection

How to Apply Through OpenTrain

Create a free OpenTrain account, build your contributor profile, and apply in minutes. Be prepared to describe your automotive engineering background, Python experience, and any teaching, technical review, or AI evaluation work.

Qualified applicants will need to complete an AI interview and QA test. If selected, you will use your engineering expertise to help improve the quality and reliability of AI-generated technical content.

• Create or update your free OpenTrain profile
• Highlight automotive engineering, Python, and technical review experience
• Complete the AI interview and QA test
• Work remotely on a flexible part-time contractor schedule