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Mineral Processing Engineer $151,100 jobs

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    • Ensure AI-generated content reflects sound engineering principles, appropriate safety considerations, and responsible technical communication (including “when…
    • View all SME Careers by SuperAnnotate jobs - Remote jobs
    • Salary Search: Chemical Engineer salaries in Remote
    • Mentor and coach project engineer(s).
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    • Demonstrated experience in mineral processing operations leadership within mining or heavy industry.
    • Exposure across mining and processing environments.
    • Provide technical and consulting services to mining clients.
    • Act as Mining Lead, Project Manager or Project Engineer across EPCM and project delivery scopes.
    • Demonstrated experience in the design of base metals, critical minerals and/or gold processing plants – Essential.
    • This is a dynamic, full-time role offering exposure to the full mining lifecycle, including drill and blast, load and haul, crushing, stockpile management,…
    • Carrying-out site inspections and liaising with suppliers, clients, consultants or commissioning engineers.
    • Our specialised technical expertise, proven track…
    • We're seeking ambitious and experienced Senior Project Engineers who want more than just another project.
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    • Mentor engineers and support the development of future technical leaders.
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    • Build Client Relationships: Manage client and stakeholder relationships and work collaboratively with multidisciplinary teams (geotechnical engineers, mining…
    • Extensive experience (>5 years recent) in brownfield processing plants / refineries, preferably in the Alumina industry.
    • Design of pump and piping systems.
    • Have strong industry knowledge: Deep practical understanding of mineral processing plants.
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    • As Principal, Mine Waste, will provide technical leadership in tailings engineering, mine waste engineering, geotechnical design, dam safety, Engineer of Record…
Chemical Engineer
Contract

Job details

Here’s how the job details align with your profile.

Job type

Contract

Full job description

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.

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.
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”).

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