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Chemical Engineer

SuperAnnotate SuperAnnotate ContractRemote
Posted Oct 6, 2026 · Last checked Oct 6, 2026

Quick facts

Pay
up to $100 / hour
Type
Contract
Location
Remote
Background
PhD
Platform
SuperAnnotate — 830 open jobs
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Pay: up to $100/hour

If you are a chemical engineer who thrives on technical precision, applied problem-solving, and real-world process reasoning, this is a unique opportunity to contribute directly to how the next generation of AI systems understand and communicate complex chemical engineering concepts. We are looking for chemical engineering specialists who can evaluate, challenge, and refine advanced language models on domain-specific topics. Your expertise as a Chemical Engineer will directly help improve the world’s premier AI models, and will play an important role in shaping the future of AI. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs.

Responsibilities

  • Evaluate AI-generated responses for technical accuracy, logical soundness, completeness, and clarity across chemical engineering topics.
  • Challenge advanced language models with realistic chemical engineering scenarios, calculations, and process-informed reasoning tasks.
  • Review and refine AI-generated prompts, model responses, explanations, and step-by-step engineering solutions.
  • Provide structured feedback that identifies factual errors, flawed assumptions, missing constraints, unsafe recommendations, unit/consistency mistakes, or incomplete reasoning.
  • Assess model performance on topics such as: Material & energy balances, phase behavior, and thermodynamic property use, Unit operations and sizing logic, Distillation/separations design logic and feasibility checks, Process control reasoning, Process safety, Scale-up/manufacturability, operability, and troubleshooting of plant scenarios
  • Help shape AI communication standards for technical chemical engineering content, including how models explain assumptions, limitations, calculations, and professional judgment.
  • Ensure AI-generated content reflects sound engineering principles, appropriate safety considerations, and responsible technical communication (including “when to escalate to a licensed engineer/site expert”).

Requirements

  • 4+ years of professional chemical engineering experience, with meaningful hands-on work in process design, plant/operations engineering, process safety, scale-up, manufacturing, utilities, EHS, quality, R&D, controls/automation interfaces, or a closely related chemical engineering specialty.
  • Deep knowledge of chemical engineering fundamentals, including material & energy balances, thermodynamics, fluid mechanics, heat & mass transfer, reaction engineering, separations (distillation, absorption, extraction, membranes), unit operations, and process control concepts.
  • Strong comfort with engineering calculations, assumptions, constraints, and defensible reasoning (including uncertainty, safety factors, and limitations).
  • Bachelor’s degree in Chemical Engineering (or closely related) required; Master’s/PhD, PE/Chartered credentials, or advanced professional certifications strongly preferred.
  • Previous experience with AI data training, annotation, red-teaming, or evaluating AI-generated technical content is a strong plus.
  • Familiarity with tools and artifacts such as PFDs/P&IDs, Aspen Plus/HYSYS, CHEMCAD, process datasheets, PSM documentation, HAZOP/LOPA, or SOPs is a plus.

Open to candidates in: Australia, Bangladesh, Bhutan, Brazil, Cambodia, Canada, Germany, India, Indonesia, Malaysia, Nepal, New Zealand, Pakistan, Singapore, Sri Lanka, Thailand, The Philippines, The United Kingdom, The United States, Timor Leste, Vietnam

Interview language: English

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About SuperAnnotate

SuperAnnotate builds annotation software and also runs a managed workforce that labels data and evaluates model outputs for AI companies. Listings here are usually for freelance annotators and subject-matter experts working inside SuperAnnotate's own tool.