Semiconductor Engineering Expert
UAE/Dubai
Listed on 2026-11-02
-
Engineering
AI Evaluation
Create and assess difficult semiconductor engineering problems for AI training, with $85 to $185 per hour for experienced technical judgment. Work remotely as a flexible contractor and apply through Open Train.
Remote Hourly · $85-$185/hr
$85-$185/hr
Compensation
Contract, part-time
Engagement
Remote
Location
Oct 31, 2026
- 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
You will create and evaluate difficult technical problems used to train AI systems. The work calls for real semiconductor engineering judgment, complete solutions, and clear standards that separate correct answers from plausible errors.
- Design semiconductor engineering problems using realistic constraints and supporting data.
- Provide technically correct solutions with reasoning another engineer can verify.
- Define objective criteria for deciding whether an answer is correct.
- Review other contributors’ problems for technical accuracy and sound methods.
- Identify problems that are ambiguous or cannot be graded reliably.
- Evaluate technically plausible answers using hands-on knowledge from at least one semiconductor area.
This is remote, part-time contractor work with a flexible commitment that can fit alongside your current role. The work is open to candidates in the countries listed below and requires professional fluency in English.
- Pay: $85 to $185 per hour.
- Work arrangement:
Remote contractor, part time, with flexible commitment. - Open to candidates in: AE, AR, AT, BD, BE, BH, , CA, CH, CL, CO, DE, DK, DZ, EG, ES, FR, GB, GH, GR, , IN, IT, JO, JP, KE, KG, KW, KZ, LB, LK, MA, MX, MY, NG, NL, OM, PE, PH, PK, PS, PT, QA, SA, SG, TH, TN, TW, US, UZ, VN, ZA.
- Language:
Professional fluency in English. - Education:
A master's or PhD in electrical engineering, materials science, applied physics, or a closely related field. - Experience:
Principal-, staff-, or fellow-level experience at a major semiconductor company, or a faculty appointment at a leading university. - Technical background:
Deep expertise and hands-on ownership in at least one semiconductor area, such as device physics, process integration, circuit design, lithography, packaging, yield, or reliability. - Communication:
Ability to explain technical answers clearly enough for another engineer to verify. - Helpful background:
Publications, patents, technical leadership, or experience evaluating AI or large language models.
AI training is the human work behind systems that learn from examples, including writing, reviewing, and rating model answers. Experienced specialists are needed to judge complex technical work and help distinguish reliable answers from convincing mistakes.
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