{"id":3290516,"url":"https://alion.io/job/mercor-llm-systems-engineer-fully-remote-upto-500task-task-based","title":"LLM Systems Engineer - Fully Remote | Upto $500/task Task based","company":{"id":4960,"name":"Mercor","domain":"mercor.com","url":"https://alion.io/company/mercor","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":15,"ghost_share":0,"stale_share":0.267,"repost_share":0,"time_to_fill_p50_days":76,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false}],"status":"live","first_seen_at":"2026-10-17T17:44:35Z","employer_posted_date":null,"last_verified_at":"2026-10-17T17:44:35Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"About the jobMercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.\nPosition: Agent Engineer\nType:Contract\nCompensation:$100–$500/hour\nLocation:Remote\nRole Responsibilities\nBuild and operate LLM agents in production environments.\n\nEvaluate agent performance and determine improvements after changes.\n\nManage long-running agents, including scheduled jobs and cloud sandboxes.\n\nAnalyze adoption patterns of internal assistants within organizations.\n\nFocus on internal monoagents, shared memory, and reusable skills.\n\nEnsure visibility into agent actions and associated costs.\n\nQualifications\nMust-Have\n\nExperience shipping agents used by real users.\n\nAbility to assess agent performance improvements.\n\nKnowledge of long-running work and cloud sandboxes.\n\nInsight into internal assistant adoption within organizations.\n\nInterview Process\nInitial short conversational AI interview; no coding or take-home tasks.\n\nLive 30-minute conversation with our team.\n\nCompensation of $100 to $500 for the conversation, based on experience.\n\nApplication Process (Takes 20–30 mins to complete)\nUpload resume\n\nAI interview based on your resume\n\nSubmit form\n\nResources & Support\nFor details about the interview process and platform information, please check: \n\nFor any help or support, reach out to: \n\nPS: Our team reviews applications daily. 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