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micro1 AI

Building Engineer - AI Trainer

Sunny Isles, FL · Remote

$50 - $80/hr

Contractor Location: Remote (US only) Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform ...

Weekday AI

Chemistry Expert (PhD) - AI Trainer

$65 - $85/hr

This role centers on developing and evaluating AI models that can replicate real-world workflows ... Independent contractor arrangement * Daily payments via Stripe Connect

Weekday AI

Physics AI Specialist

$80/hr

Contribute to the development of high-quality datasets used to train and evaluate AI models ... Independent contractor engagement * Work must not involve sharing confidential or proprietary ...

Weekday AI

Legal AI Specialist

$90 - $120/hr

In this role, you will apply your legal expertise to review AI-generated outputs, design high ... Independent contractor role * Fully remote with flexible, self-managed schedule * Project duration ...

Weekday AI

Clinical AI Specialist

$130 - $300/hr

As a Clinical AI Specialist, you will contribute your medical expertise to design realistic ... Engagement is on an independent contractor basis * Work must not involve sharing confidential or ...

Weekday AI

Mathematics PhD AI Trainer

$70 - $140/hr

This initiative focuses on enhancing AI systems' reasoning capabilities through rigorous problem ... Independent contractor engagement. * Weekly payments processed via Stripe Connect. Compensation ...

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$134.6K

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How much do ai contractor jobs pay per year?

As of Jun 18, 2026, the average yearly pay for ai contractor in the United States is $134,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $156,000.00 per year, depending on experience, location, and employer.

How does an AI Contractor typically collaborate with in-house teams during a project?

AI Contractors often work closely with in-house teams such as software developers, data scientists, and project managers to ensure seamless integration of AI solutions. Communication is key, as contractors must align their work with existing workflows and company objectives, often participating in regular meetings and code reviews. They may also provide documentation and training to help internal staff maintain and scale the implemented AI systems after the contract ends. Establishing clear expectations and frequent updates helps promote a productive partnership and project success.

What are the key skills and qualifications needed to thrive as an AI Contractor, and why are they important?

To thrive as an AI Contractor, you need expertise in machine learning, data analysis, programming (often Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and certifications in AI or data science are typically expected. Strong problem-solving abilities, project management skills, and effective communication help you excel when collaborating with clients and stakeholders. These skills and qualities are essential for delivering successful AI solutions that meet business objectives and adapt to evolving technologies.

What are AI contractors?

AI contractors are professionals or companies hired on a contract basis to develop, implement, or maintain artificial intelligence (AI) solutions for organizations. They typically possess expertise in AI technologies such as machine learning, natural language processing, or computer vision. AI contractors may assist with tasks like building custom AI models, integrating AI into existing systems, or providing technical consultation. Their work helps businesses leverage AI capabilities without needing to hire full-time, in-house specialists.
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Ai Contractor jobs near you

Python - AI Engineer Contractor

Omm IT Solutions

Cary, NC • On-site

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

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PLEASE NOTE:<\/b><\/span><\/span><\/u>
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  • It is a 100% on\-site position, Carry, NC.<\/b><\/span><\/span><\/span>
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  • 5 days\/week.<\/b>
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  • Local candidates.<\/b>
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  • HackerRank assessment required<\/b><\/span><\/span>
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    Job Description:<\/b><\/span><\/span><\/span><\/u>
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      \n
    • Build GenAI applications leveraging foundation models and advanced architectures such as GraphRAG.
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    • Develop autonomous AI agents using modern Agentic frameworks.
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    • Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS, Azure, or GCP).
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    • Build scalable REST APIs that power LLM\-driven applications integrated with enterprise data sources.
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    • Implement LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom benchmarks to measure answer relevance, groundedness, and hallucination rates.
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    • Apply LLMOps\/MLOps practices, including CI\/CD pipelines, prompt\/version management, automated testing, and monitoring of latency, cost, and response quality.
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    • Develop systems leveraging Embeddings at scale, knowledge graphs, and ontology extraction.
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    • Collaborate across engineering teams, mentor developers, and help drive innovation in GraphRAG and Agentic AI architectures.
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      \n SKILL SET:<\/b><\/span><\/span><\/u><\/span>
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        \n
      • Focus on building AI\-driven solutions using Python, including LLMs, Embeddings, knowledge graphs, and RAG Architecture.<\/span><\/span><\/span>
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      • Cortex AI, depth or experience in GraphRAG, Knowledge Graphs, and Agentic System Design.<\/span><\/span><\/span><\/span><\/span>
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        Requirements<\/h3>\n
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        Required Qualifications:<\/b><\/span><\/span><\/span><\/u>
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        • Degree in Computer Science, AI\/ML, or related field.<\/b>
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        • 5+ years of AI\/ML\-focused software engineering experience.
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        • Production experience building LLM\-based or Agentic AI systems.
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        • Strong expertise in Python and modern AI frameworks.
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        • Experience with Embeddings, knowledge graphs, ontology extraction, and advanced RAG\/GraphRAG implementations.
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        • Full\-stack development experience (Python back end + modern front end).
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        • Experience deploying AI workloads to AWS, Azure, or GCP.
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        • Familiarity with LLMOps\/MLOps tooling and model evaluation frameworks.
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        • Strong problem\-solving, communication, and collaboration skills.<\/span><\/span><\/span><\/span><\/span>
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