AI Automation & Tool Use Engineer
Alignerr • Remote • Posted 30 days ago
Education
Any
Type
Pay Rate
$30/task
Posted
30d ago
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About this Role
What You'll Do
- Design, test, and evaluate agentic AI workflows involving tool use, API calls, and multi-step task execution
- Assess AI-generated code and automation pipelines for correctness, efficiency, and reliability
- Build and refine function-calling schemas, tool orchestration patterns, and integration architectures
- Identify failure modes, edge cases, and error-handling gaps in AI agent behavior
- Provide structured, expert feedback that improves AI reasoning and task-planning capabilities
- Work across real-world scenarios spanning DevOps, CI/CD, cloud infrastructure, data pipelines, and workflow automation
- Collaborate asynchronously with a global team of engineers and researchers on cutting-edge agentic AI projects
About the Role
AI agents are moving beyond conversation — they're calling APIs, executing code, orchestrating pipelines, and taking real action in the world. We're looking for experienced software engineers and DevOps practitioners to help build, evaluate, and improve these systems at the frontier of agentic AI. Your expertise will directly shape how the next generation of AI reasons, plans, and operates in complex real-world environments. This is hands-on, high-impact work that matters.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Fully Remote
- Commitment: 10–40 hours/week
Who You Are
- 3+ years of professional experience in software engineering, DevOps, automation, or workflow design
- Strong familiarity with API integrations (REST, GraphQL, webhooks) and function-calling paradigms
- Experience with orchestration tools, automation frameworks, or infrastructure-as-code (e.g., Terraform, Ansible, GitHub Actions, Airflow, Zapier, or similar)
- Comfortable reading and writing code in Python, JavaScript/TypeScript, or other popular languages
- Solid understanding of multi-step task execution, state management, and error handling in automated systems
- Strong analytical and problem-solving skills with meticulous attention to detail
- Clear written communication — able to articulate technical decisions and trade-offs
- Self-motivated and comfortable working independently on flexible, task-based assignments
Nice to Have
- Experience building or working with AI agents or LLM tool-use frameworks (e.g., LangChain, AutoGPT, CrewAI, OpenAI function calling)
- Background in cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
- Familiarity with prompt engineering or AI evaluation methodologies
- Experience designing developer tools, SDKs, or platform integrations
Why Join Us
- Work at the frontier of agentic AI — help define how AI systems use tools and take action in the real world
- Collaborate with top AI research labs on projects that push the boundaries of what's possible
- Fully remote with complete schedule flexibility — work when and where you want
- Freelance autonomy with the opportunity for ongoing and expanding work
- Gain deep, hands-on exposure to advanced LLMs, agent architectures, and how they're trained
- Be part of a global community of engineers and researchers shaping the future of AI
Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
Compensation Analysis
AI agents are moving beyond conversation — they're calling APIs, executing code, orchestrating pipelines, and taking real action in the world. We're looking for experienced software engineers and DevOps practitioners to help build, evaluate, and improve these systems at the frontier of agentic AI. Your expertise will directly shape how the next gen
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Frequently Asked Questions
What is the assessment actually like?
Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests — a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.
How quickly can I start earning after I pass?
Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.
Is there a community?
Yes — and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
What is the barrier to entry?
Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.