Principal / Lead Systems Engineer for AI Training

OpenTrain AI, Inc.; United States; Remote; USD 207,000 - 413,000; Part time

Job summary

OpenTrain AI, Inc. seeks a Principal or Lead Systems Engineer to design comprehensive engineering workflows across mechanical, electrical, hardware, software, and manufacturing domains.

This remote contractor role centers on improving AI training systems through rigorous requirements, integration, and validation work. Responsibilities include breaking projects into executable tasks, managing interfaces, and coordinating multidisciplinary inputs to meet clearly defined objectives and acceptance

Qualifications

• Substantial experience as a Principal or Lead Systems Engineer on multidisciplinary projects.
• Fluent English communication and collaboration across domains.
• Strong grasp of engineering requirements, interfaces, integration, verification and validation.
• Master's or PhD in Systems Engineering or related field is preferred.

Responsibilities

• Design engineering workflows spanning mechanical, electrical, hardware, software, and manufacturing disciplines.
• Break complex projects into connected tasks with inputs, deliverables, dependencies, and responsibilities.
• Apply systems engineering principles to interface management, system integration, verification, and validation.
• Coordinate contributions from domain experts to ensure clear objectives and evaluation criteria for each workflow.

Skills

Requirements engineering

Interface management

System integration

Verification & validation

Education

Master's degree in Systems Engineering

PhD in Systems Engineering

Job description

Principal / Lead Systems Engineer for AI Training

Design complex engineering workflows for AI training as a Principal or Lead Systems Engineer. This remote contractor role pays $150 to $300 per hour and uses your expertise in requirements, integration, and validation.

Remote Hourly $150–$300/hr

$150–$300/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open in 52 countries

Portugal + more

• Algeria
• Argentina
• Austria
• Bahrain
• Bangladesh
• Belgium
• Brazil
• Canada
• Chile
• Colombia
• Denmark
• Egypt
• France
• Germany
• Ghana
• Greece
• India
• Indonesia
• Italy
• Japan
• Jordan
• Kazakhstan
• Kenya
• Kuwait
• Kyrgyzstan
• Lebanon
• Malaysia
• Mexico
• Morocco
• Netherlands
• Nigeria
• Oman
• Pakistan
• Palestine
• Peru
• Philippines
• Portugal
• Qatar
• Saudi Arabia
• Singapore
• South Africa
• Spain
• Sri Lanka
• Switzerland
• Taiwan
• Thailand
• Tunisia
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

The work

You will design realistic engineering projects that span mechanical, electrical, hardware, software, and manufacturing disciplines. Your work will help improve how AI systems plan, execute, integrate, test, and validate complex engineering activities.

• Define project objectives, technical requirements, constraints, and measurable acceptance criteria.
• Break complex projects into connected expert tasks with clear inputs, deliverables, dependencies, and responsibilities.
• Apply systems engineering principles to interface management, system integration, verification, and validation.
• Coordinate contributions from domain experts so each workflow has clear technical objectives and evaluation criteria.

What it pays and takes

• Pay: $150 to $300 per hour.
• Work model: Remote contractor role with part-time engagement.
• Location: Open to candidates in the countries listed for this role. US-based engineers are preferred.
• Language: English proficiency at B2 level or higher.
• Required experience: Substantial experience as a Principal Systems Engineer, Lead Systems Engineer, or comparable technical leader on complex, multidisciplinary engineering projects.
• Required skills: Requirements engineering, interface management, system integration, and verification and validation.
• Helpful background: A relevant master's degree or PhD in Systems Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a related field.
• Valued experience: Model-based systems engineering, SysML, requirements management tools, and leading projects from initial requirements through integration, testing, and delivery.
• Relevant industries include aerospace, automotive, robotics, industrial systems, and medical devices.

About AI training work

AI training is the human work behind systems that learn from examples, including creating tasks, reviewing outputs, and judging whether results meet clear standards. Experienced specialists are paid for applying professional knowledge to help AI handle real work more accurately.