aidata scienceproject managementllmmachine learningresearchprompt engineeringagi
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
развернуть
На похожих ролях по рынку
$130к$160кмедиана$210к
50 в выборке
На СНГ рынке: $2.9к/мес ($2к - $4.1к)
76
Хорошая вакансия
развернуть
Здесь сочетаются практические AI-исследования в здравоохранении и наставничество, но подробный регламент и смесь управленческих и технических задач делают фактический баланс работы важным вопросом.
?Две роли в одной
Актуальные AI-задачи
Понятные границы роли
Пакет льгот
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Associate Manager AGI Research (AI/Research): Supervising research interns and conducting hands-on AI research and prototyping with an accent on applied experiments, evaluation methods, documentation, and technical standards. Focus on translating research objectives into assignments, reviewing code and prototypes, coaching contributors, and escalating technical, scope, resource, security, and privacy risks.
Location: Remote within the United States
Base compensation: $50.50–$60.00 per hour
Company
hirify.global provides healthcare analytics and related technology services involving sensitive healthcare and claims data.
What you will do
Supervise research interns, assign work, set weekly goals and schedules, monitor progress, and provide coaching and performance feedback.
Coordinate research activities, planning routines, milestones, demos, status reporting, documentation, and workflow across technical and business stakeholders.
Conduct hands-on AI research, prototyping, coding, debugging, testing, literature and tool reviews, and experiment documentation.
Apply evaluation methods, benchmarks, accuracy measures, test data, and error analysis; review code, prototypes, and documentation for correctness, performance, security, maintainability, and AI-native SDLC standards.
Collect requirements, coordinate technical reviews, document decisions, and escalate material scope, resource, technical, compliance, security, privacy, and data-handling issues.
Support recruiting, onboarding, training, timecard review, performance evaluations, and internship or conversion decisions with HR and university relations.
Requirements
Degree in computer science, machine learning, AI, data science, engineering, or a related technical field, with either a bachelor’s degree and 2–3 years of experience, a master’s degree and 1–2 years, or a PhD and 0–1 years.
Relevant experience in software engineering, applied AI, machine learning, data science research, or technical program or project management.
Experience leading, mentoring, or managing technical contributors such as interns, early-career engineers, or research assistants, including coaching, direct feedback, and difficult conversations.
Working knowledge of AI-assisted development tools and the ability to review code and prototypes against technical, security, and documentation standards.
Experience supporting applied research or experiments by documenting hypotheses, applying evaluation metrics, analyzing results, and recommending next steps.
Experience translating approved objectives into assignments, short-term goals, schedules, and status reports for a small team or work unit.
Ability to work within established procedures, clarify routine requirements, and escalate material scope or acceptance-criteria questions.
Clear written, verbal, and demonstration-based communication of complex technical concepts and results.
Sound judgment regarding data security and privacy, especially for sensitive healthcare and claims data; proficiency with Microsoft Office, SharePoint, and project tracking tools such as Jira or Asana.
Nice to have
Hands-on experience with LLM application patterns including agentic workflows, retrieval-augmented generation, tool use, prompt engineering, and LLM evaluation.
Experience with knowledge graphs or graph databases.
Experience in fast-paced product, research, or innovation teams, or in internship or university programs.
Experience with AWS, Azure, or OCI and containerization with Docker or Kubernetes.
Exposure to healthcare, clinical chart review, medical coding, or claims concepts; this is not required and ramp-up support is provided.
CSM, PSM I, or SAFe Agilist certification, or experience with OKRs or similar goal-setting frameworks.
Culture & Benefits
Remote work requires high-speed internet, a dedicated secure work area, and office setup and maintenance.
Work includes prolonged stationary periods and repetitive wrist, hand, or finger motions; reasonable accommodation is available.
Non-exempt employees are eligible for overtime pay after 40 hours per week or as required by applicable state law.
Benefits include medical, dental, vision, disability, and life insurance, a 401(k) plan, paid family leave, nine paid holidays, and 17–27 days of PTO depending on level and length of service.
Applications are assessed on a rolling basis; the anticipated application closing date is January 30, 2027, subject to change or early closure.
Hiring process
Applications are reviewed on a rolling basis and may close when a qualified candidate is selected.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →