9 дней назад
AI Automation Engineer
25$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Automation Engineer (AI/workflow automation): Building reliable production automation systems across AI models, APIs, data sources, and workflow tools with an accent on process discovery, validation, monitoring, and measurable business impact. Focus on designing error handling and human approval, deploying systems that users adopt, and quantifying time, cost, quality, revenue, or cycle-time improvements.
Location: Fully remote; contractor must state their location and working-hour overlap
Salary: $25 per hour
Company
is a revenue marketing agency that builds pipeline-focused systems for startups and Fortune 500 companies.
What you will do
- Map workflows with the people who perform them and prioritize opportunities by frequency, time, error cost, business value, and implementation risk.
- Build production automations using approved AI models, APIs, data sources, and workflow tools.
- Implement validation, retries, logging, alerts, access controls, and human approval mechanisms.
- Train users, document systems, measure adoption, and address post-launch gaps.
- Track time saved, avoided cost, cycle-time changes, quality, revenue impact, and other approved KPIs.
- Maintain valuable automations and retire systems that no longer deliver measurable impact.
Requirements
- Experience owning production automations from workflow discovery through rollout, monitoring, documentation, and adoption.
- Evidence of two or three production automations with clearly defined ownership.
- At least one measured result tied to time, cost, quality, revenue, adoption, or cycle time.
- Experience diagnosing workflows before selecting tools and implementing error handling, monitoring, data controls, and human escalation.
- Ability to work as a full-time contractor in a fully remote model.
- Include “AI automation is cool” in the application subject line and state location, working-hour overlap, and start date.
Culture & Benefits
- AI-native working environment focused on improving speed, quality, judgment, and leverage.
- Systems are expected to include clear controls, testing, monitoring, ownership, and human review.
- Success is measured through adopted production systems and documented annualized business leverage.
- Fully remote, full-time contractor work model.
Hiring process
- Application and evidence review.
- Workflow and engineering screen followed by the published Beat Claude engineering challenge.
- Live system-design and tradeoff review, references, and final decision.
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