{"id":4017447,"url":"https://alion.io/job/recruitment-room-ai-trainer-engineering-sciences-remote","title":"AI Trainer (Engineering Sciences) - Remote","company":{"id":100174,"name":"Recruitment Room","domain":"recruitmentroom.net","url":"https://alion.io/company/recruitment-room","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Education","role_family":"Education","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["AS","WS"],"hiring_countries_total":2,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"AI Agents","optional":true}],"status":"live","first_seen_at":"2026-11-10T12:40:00Z","employer_posted_date":null,"last_verified_at":"2026-11-10T12:40:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"AI TRAINER (ENGINEERING SCIENCES) - REMOTE\nLocation: Global, Fully Remote\nEmployment Type: Contractor\nTime Commitment: 15+ hours per week\nSchedule: Flexible\nCompensation: $60-$120/hour equivalent, paid per accepted task\nABOUT THE ROLE\nWe are seeking Computational Engineers with prior professional AI-training or model-evaluation experience to support a project focused on improving advanced AI systems.\nYou will apply your engineering expertise and programming skills to develop challenging technical tasks, evaluate model-generated code and analyses, identify failures, and establish objective standards for correct solutions. Candidates should have substantive experience training or evaluating AI systems on engineering or technical content.\nKEY RESPONSIBILITIES\nCreate realistic computational engineering tasks that challenge advanced AI models.\n\nDevelop task instructions, reproducible environments, reference solutions, and evaluation criteria.\n\nEvaluate model-generated code, calculations, simulations, designs, analyses, and technical deliverables.\n\nIdentify technical errors and assess the accuracy, reliability, and reproducibility of results.\n\nREQUIRED QUALIFICATIONS\nPrior paid experience training, evaluating, benchmarking, or improving AI systems on engineering or technical tasks.\n\nDeep expertise in at least one relevant engineering specialization.\n\nStrong programming or scripting ability, preferably in Python.\n\nHands-on experience with computational methods for engineering analysis, simulation, modeling, optimization, testing, automation, or data processing.\n\nExperience creating or validating technical results with clear, reproducible answers.\n\nRELEVANT ENGINEERING SPECIALIZATIONS\nMechanical and aerospace engineering.\n\nElectrical and computer engineering.\n\nElectronics and embedded systems.\n\nChemical and process engineering.\n\nCivil and structural engineering.\n\nManufacturing and industrial engineering.\n\nRobotics and controls.\n\nEnergy systems.\n\nBiomedical engineering.\n\nPUBLIC PROOF OF SKILL\nApplicants should provide verifiable evidence of their expertise, such as:\nDesigns taken into production.\n\nSimulations validated against test data.\n\nComplex engineering failures personally diagnosed.\n\nPatents, publications, or technical reports.\n\nPublic engineering code, scripts, models, or simulations.\n\nOpen-source hardware or engineering software contributions.\n\nEngineering competition results.\n\nReproducible notebooks, benchmarks, or technical projects.\n\nConfidential employer or customer materials must not be shared.\nPREFERRED QUALIFICATIONS\nExperience creating AI-training tasks, reference solutions, rubrics, graders, or benchmark problems.\n\nExperience reviewing technical submissions from other AI trainers.\n\nA master's degree, PhD, or substantial professional experience in a relevant engineering discipline.\n\nExperience with command-line tools, scripting interfaces, configuration files, solver APIs, or programmatic engineering software.\n\nExperience validating computational results against calculations, simulations, measurements, or physical tests.\n\nExperience with long-horizon or agentic AI evaluations.\n\nAvailability to begin immediately.\n\nAPPLICATION PROCESS\nSubmit your application, AI-training experience, engineering specialization, and public technical evidence.\n\nComplete an AI interview covering technical and integrity checks.\n\nUndergo a hiring-manager review.\n\nComplete project onboarding and begin your first assigned task if selected.\n\nCOMPENSATION AND WORK ARRANGEMENT\nCompensation is output-based, with an estimated equivalent of $60-$120 per hour. Payment is made for tasks that meet project specifications and quality requirements. 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