{"id":1173124,"url":"https://alion.io/job/recruitment-room-ai-engineer","title":"AI Engineer","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":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["BB"],"hiring_countries_total":1,"salary":{"min":46800,"max":93600,"currency":"USD","period":"month","gross":null,"usd_annual":1123200},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Rust","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-08-26T10:40:00Z","employer_posted_date":null,"last_verified_at":"2026-08-26T10:40:00Z","board_verified":false,"closed_at":null,"days_open":33,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":33},"description":"AI Engineer\nJob Type: Independent Contractor\nLocation: Remote\nOpenings: 100\nExpected Commitment: Approximately 15 hours/week\nSchedule: Flexible - choose your own hours and days, including weekends\nPay: $60-$120/hour ($46,800-$93,600 annualized, based on 15 hours/week)\nAbout the Opportunity\nWe are seeking experienced software engineers to contribute to an AI training project focused on evaluating and improving the capabilities of next-generation AI systems.\nYou will design reinforcement learning environments that test AI models on complex software engineering tasks involving Model Context Protocol (MCP) tools. The work combines practical software engineering with structured evaluation, requiring you to create realistic development scenarios that accurately measure an AI agent's ability to investigate problems, use external tools, reason through codebases, and implement reliable solutions.\nNo prior AI or machine learning experience is required. The focus is on your software engineering expertise, problem-solving ability, and understanding of production-quality development practices.\nWhat You'll Do\nCreate reproducible reinforcement learning environments for software engineering tasks.\n\nDesign scenarios involving bug fixing, feature implementation, code refactoring, and performance optimization.\n\nBuild environments where AI agents must discover and reason over information using real MCP servers and tools.\n\nDevelop deterministic verification mechanisms to objectively assess whether an AI-generated solution meets the required specifications.\n\nCreate golden reference solutions that establish high-quality benchmarks for model evaluation.\n\nDevelop realistic engineering problems that test both MCP tool usage and software development capability.\n\nEnsure environments are reliable, reproducible, and sufficiently robust for consistent evaluation.\n\nApply your understanding of algorithms, data structures, debugging, and software architecture to create technically meaningful challenges.\n\nRequired Qualifications\nStrong proficiency in at least one of C++, Python, Java, Go, TypeScript, or Rust.\n\nDeep understanding of algorithms, data structures, and performance optimization.\n\nDemonstrated ability to diagnose and resolve complex software issues.\n\nStrong experience developing production-quality features and maintaining existing codebases.\n\nExperience with codebase refactoring, debugging, and maintainability improvements.\n\nProven ability to optimize software for performance, scalability, and reliability.\n\nStrong written and verbal communication skills, with excellent attention to technical detail.\n\nAbility to work effectively with limited supervision in a remote environment.\n\nDemonstrated experience collaborating with engineering or cross-functional teams.\n\nPreferred Qualifications\nExperience working with large-scale or distributed software systems.\n\nFamiliarity with AI, machine learning, LLMs, or agentic systems.\n\nExperience participating in rigorous code reviews.\n\nKnowledge of software engineering best practices, testing methodologies, and quality assurance.\n\nExperience designing technical benchmarks, evaluation frameworks, or reproducible development environments.\n\nSelection Process\nSubmit an application and complete the screening questions.\n\nComplete an approximately 30-minute AI interview.\n\nComplete a technical assessment, if required.\n\nApplication and assessment reviewed by the hiring team.\n\nEngagement Details\nEngagement: Independent contractor.\n\nWork arrangement: Fully remote.\n\nTime commitment: Approximately 15 hours per week.\n\nSchedule: Flexible; you choose when to work.\n\nStart: Selected contributors are expected to begin promptly after onboarding.\n\nRoles are typically filled within approximately 48 hours.\n\nCompensation Structure\nCompensation is output-based. Experts are paid per completed task that meets the project's specifications and quality requirements. Actual earnings may vary depending on task complexity, experience, workflow, and approved output.\nMinimum submission requirements apply, including a required minimum number of tasks per week. The hourly figure above represents the stated rate range and annualized equivalent for comparison purposes; it does not guarantee a fixed annual salary or a fixed number of paid hours.","description_format":"text","description_chars":4293,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Barbados","iso":"BB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-24T09:13:47Z"}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.33,"p_room":0.55,"age_days":32,"expected_fill_days":25,"reasons":["seen:32","agency","velocity","win:tail","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":1123200,"is_top_pay":true},"html_url":"https://alion.io/job/recruitment-room-ai-engineer","json_url":"https://alion.io/job/recruitment-room-ai-engineer.json","meta":{"generated_at":"2026-09-29T03:58:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3734,"day_limit":5000,"remaining_today":1266,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}