{"id":343576,"url":"https://alion.io/job/weekday-stem-researcher-computational-fields","title":"STEM Researcher - Computational Fields","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":85,"ghost_share":0,"stale_share":0.976,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-09-30T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"part_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":60,"max":90,"currency":"USD","period":"hour","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Google Colab","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Edge AI","optional":true}],"status":"live","first_seen_at":"2026-07-29T00:00:00Z","employer_posted_date":"2026-07-29","last_verified_at":"2026-09-30T23:24:22Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":64},"description":"This role is for one of our clients\nCompensation: $60-$90 per hour\nJoin a pioneering AI initiative focused on developing the next generation of evaluation benchmarks for frontier AI models. We are seeking researchers from computational STEM disciplines-as well as computationally intensive social sciences and humanities-to bring the rigor of real-world research into AI evaluation.\nIn this role, you will transform scientific methodologies such as experimental design, hypothesis testing, and data-driven analysis into sophisticated, multi-step benchmark tasks that challenge state-of-the-art AI systems. Working closely with AI researchers, you'll help uncover subtle reasoning errors and methodological flaws that only experienced researchers can identify.\nThis is a fully remote, full-time engagement requiring approximately 35 hours per week.\nRequirements\nKey Responsibilities\nDesign complex, research-oriented benchmark tasks inspired by real-world scientific workflows, including study design, experimentation, hypothesis testing, and data analysis.\nDevelop comprehensive reference solutions using Python, notebooks, and computational tools with the rigor expected in professional research.\nDefine clear evaluation standards that distinguish sound scientific reasoning from plausible but incorrect conclusions.\nReview AI-generated solutions, identifying methodological weaknesses, analytical errors, and flawed reasoning that experienced researchers would recognize immediately.\nCollaborate with AI researchers and fellow domain experts to improve benchmark quality, consistency, and scientific rigor.\nContribute to the continuous refinement of evaluation methodologies for advanced AI systems.\nRequired Qualifications\nMaster's degree, PhD, or equivalent practical experience in a STEM discipline, computational social science, computational humanities, or another research-intensive field involving programming and data analysis.\nMinimum 1 year of experience in an active research role within academia, industry, government laboratories, or a similar research environment.\nDemonstrated experience performing computational research involving Python, data analysis, simulation, modeling, machine learning, or scientific computing.\nStrong understanding of experimental design, hypothesis testing, statistical analysis, and rigorous interpretation of research findings.\nWorking knowledge of Git, integrated development environments (IDEs), and notebook platforms such as Jupyter or Google Colab.\nExperience with AI evaluation, benchmark development, AI training, or task authoring is preferred.\nExcellent analytical thinking, attention to detail, creativity, and the ability to solve complex, open-ended problems independently.\nStrong written communication skills for documenting technical methodologies and research findings.\nAbility to commit approximately 35 hours per week on a consistent basis.\nPreferred Qualifications\nExperience designing reproducible computational experiments or research workflows.\nFamiliarity with machine learning, large language models, or AI-assisted research tools.\nBackground in benchmark design, scientific software development, or computational research infrastructure.\nExperience mentoring researchers, reviewing scientific work, or contributing to peer-reviewed publications.\nWhy Join\nHelp shape how next-generation AI systems are evaluated using rigorous scientific methodologies.\nCollaborate with leading AI researchers working on frontier models and advanced evaluation frameworks.\nApply your research expertise to improve AI reasoning, reliability, and scientific accuracy.\nContribute to impactful work that advances the quality and robustness of AI systems across multiple disciplines.\nEnjoy the flexibility of a fully remote engagement while working on cutting-edge AI research initiatives.\nEqual Opportunity\nWe are committed to fostering an inclusive and diverse environment where all qualified applicants receive equal consideration. Reasonable accommodations are available throughout the application and engagement process.\nContract & Engagement Details\nIndependent contractor engagement.\nFully remote with flexible working hours.\nExpected commitment of approximately 35 hours per week.\nProject duration may be extended, shortened, or concluded based on project requirements and individual performance.\nWork does not require access to confidential or proprietary information from any current or former employer.\nPayments are issued weekly based on approved work completed.\nAt this time, we are unable to support H1-B or STEM OPT candidates.","description_format":"text","description_chars":4589,"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":["Flexible schedule"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-05T18:16:18Z"}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.168,"p_room":0.28,"age_days":63,"expected_fill_days":5,"reasons":["conf:0","agency","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":{"stated_usd_annual":180000,"is_top_pay":false},"html_url":"https://alion.io/job/weekday-stem-researcher-computational-fields","json_url":"https://alion.io/job/weekday-stem-researcher-computational-fields.json","meta":{"generated_at":"2026-10-01T02:28:00Z","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":1851,"day_limit":5000,"remaining_today":3149,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}