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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Materials Writer Engineering FRQ based in India. This contract opportunity is designed for highly experienced materials engineering professionals who can translate deep technical expertise into challenging, realistic engineering problems. You will create original free-response questions focused on Materials Science and Engineering and develop rigorous solutions grounded in real-world industrial scenarios. Your work will help test the reasoning capabilities of advanced AI models against expert-level engineering challenges. You will assess problem difficulty by benchmarking questions across multiple frontier language models and ensuring they meaningfully challenge current AI systems. The role combines technical writing, engineering judgment, problem design, and AI evaluation. Working remotely and asynchronously, you will collaborate with AI research teams while contributing directly to the training and assessment of next-generation models. \n Accountabilities: Author original, technically rigorous free-response engineering problems in Materials Science and Engineering. Design challenging questions that reflect realistic industrial scenarios, engineering constraints, and practical materials engineering decisions. Develop expert-level solutions, explanations, and reasoning grounded in established engineering principles and real-world professional practice. Create problems that appropriately test advanced reasoning, technical judgment, and the application of materials engineering concepts. Validate the difficulty and effectiveness of authored problems by testing them against three frontier language models. Analyze model responses and ensure that at least one evaluated model is unable to solve the problem correctly, demonstrating an appropriate level of challenge. Refine questions and solutions based on model performance to improve their clarity, rigor, and discriminating power. Work independently and asynchronously while meeting project deadlines and maintaining consistently high technical standards. Collaborate with AI research teams to support model training, benchmarking, and evaluation initiatives. Requirements PhD in Materials Science & Engineering, Metallurgy, or a materials-focused Mechanical or Chemical Engineering discipline. 5+ years of professional experience in areas such as materials selection, failure analysis, materials testing, process development, or related engineering disciplines. Strong practical and theoretical expertise in Materials Science and Engineering, with the ability to apply technical knowledge to complex real-world problems. Experience working with recognized, well-established, or blue-chip employers is required. Demonstrated ability to analyze complex engineering scenarios and develop technically defensible solutions. Excellent technical writing and communication skills, with the ability to clearly articulate sophisticated engineering concepts. Strong analytical and critical-thinking skills, with a focus on accuracy, rigor, and practical engineering judgment. Ability to assess the difficulty and quality of technical problems and distinguish between superficial and genuinely expert-level reasoning. Comfortable working independently and asynchronously while managing deadlines and delivering high-quality technical content. Experience with AI model evaluation, technical question development, benchmarking, or engineering education is a plus. Benefits Competitive compensation: $85 per hour. Fully remote contract opportunity, providing flexibility to work from your preferred location in India. Flexible, asynchronous working environment suited to experienced engineering professionals. Opportunity to apply advanced Materials Science and Engineering expertise to the development and evaluation of frontier AI models. Direct contribution to AI training and benchmarking through challenging, expert-level engineering problems. Opportunity to collaborate with AI research teams and contribute to next-generation model development. Exposure to cutting-edge work at the intersection of engineering expertise and artificial intelligence. Opportunity to use real-world industrial experience to shape how advanced AI systems reason about complex engineering challenges. \n How Jobgether works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.