{"id":1171483,"url":"https://alion.io/job/recruitment-room-sales-agent-securities-commodities","title":"Sales Agent – Securities & Commodities","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":"Sales","role_family":"Sales","seniority":"middle","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":null,"salary_estimate":{"min_usd":62000,"max_usd":151000,"period":"year","method":"global_role_seniority_cell","sample_n":4992},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-17T13:30:00Z","employer_posted_date":null,"last_verified_at":"2026-09-17T13:30:00Z","board_verified":false,"closed_at":null,"days_open":39,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":39},"description":"Sales Agent - Securities & Commodities\nContract · Remote\nAnnual Compensation Equivalent: $62,400-$166,400/year\nHourly Rate: $30-$80/hour\nNote: Compensation is output-based and paid per completed task that meets project specifications. The annual figure above is a 40-hour/week equivalent for rate comparison and is not a guaranteed salary.\nAbout the Role\nWe’re looking for experienced securities and commodities professionals with hands-on expertise in trading, client advisory, market analysis, and compliance-driven workflows to contribute to a project focused on evaluating and improving AI systems.\nYou’ll create realistic evaluation tasks based on authentic financial-market scenarios, using market data, client documentation, spreadsheets, PDFs, and regulatory materials. Your work will test how effectively AI systems interpret financial information, apply market judgment, handle compliance considerations, and communicate decisions.\nNo prior AI experience is required. Your financial markets expertise, regulatory awareness, and ability to apply sound professional judgment are the core qualifications.\nWhat You’ll Do\nDesign realistic evaluation tasks covering securities and commodities trading, client advisory, and compliance-related decision-making.\n\nCreate multi-step scenarios that reflect the complexity of real-world financial market operations.\n\nSource, compile, and curate relevant supporting materials, including market data, client documentation, spreadsheets, PDFs, technical materials, and regulatory references.\n\nDefine appropriate market decisions or advisory actions based on the information provided.\n\nAccount for applicable compliance requirements and regulatory considerations when developing solutions.\n\nCreate detailed evaluation rubrics containing 35+ criteria to assess market judgment, compliance sensitivity, reasoning, and client communication.\n\nEnsure tasks reflect genuine day-to-day financial operations rather than simplified or purely theoretical scenarios.\n\nReview datasets and technical documentation to identify relevant information and constraints.\n\nCollaborate with technical teams to clarify task objectives and refine evaluation standards.\n\nDocument task logic, expected decisions, and evaluation criteria clearly and precisely.\n\nRequirements\n4+ years of professional experience in a brokerage, bank, trading platform, or comparable financial markets environment.\n\nSignificant experience working within compliance-driven financial workflows.\n\nDirect experience executing trades and/or providing client advisory services involving securities and commodities.\n\nStrong understanding of securities and commodities markets and associated operational processes.\n\nAbility to interpret market data, financial documentation, and regulatory materials.\n\nStrong awareness of compliance and regulatory considerations affecting trading and client interactions.\n\nExcellent written and verbal communication skills.\n\nAbility to produce clear, precise, and comprehensive technical documentation.\n\nStrong analytical judgment and attention to detail.\n\nAbility to work independently on complex, structured deliverables.\n\nPreferred Qualifications\nActive Series 7 and Series 63 licenses, or an international equivalent demonstrating relevant regulatory proficiency.\n\nExperience working with complex market datasets and financial documentation.\n\nExperience designing structured assessments, evaluation criteria, or grading rubrics.\n\nExperience developing realistic financial operations scenarios for training, assessment, or process improvement.\n\nExperience working with CSV files, spreadsheets, PDFs, and technical or regulatory documentation.\n\nRemote experience involving independent work and complex deliverables.\n\nExperience with AI evaluation, benchmarking, or AI training projects is helpful but not required.\n\nEvaluation Task Standards\nSuccessful tasks should:\nReflect realistic securities or commodities market activities.\n\nRequire multi-step analysis and professional judgment.\n\nIncorporate relevant compliance and regulatory considerations.\n\nUse appropriate market, client, or technical documentation.\n\nHave clearly defined expected outcomes and decision criteria.\n\nInclude comprehensive, objectively applicable evaluation rubrics.\n\nTest practical reasoning rather than simple factual recall.\n\nCompensation & Engagement\nHourly rate equivalent: $30-$80/hour.\n\n40-hour annual compensation equivalent: $62,400-$166,400/year.\n\nCompensation is output-based and paid per task that meets project specifications.\n\nTask completion time may vary depending on experience and workflow.\n\nMinimum weekly submission requirements apply.\n\nIndependent contractor engagement.\n\nRemote and asynchronous.\n\nSelected experts should be prepared to begin their first tasks within 24-48 hours of completing onboarding.\n\nNo prior AI or machine learning experience 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