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Ai Engineer Contract Jobs in Reno, NV (NOW HIRING)

Equs, Inc.

Senior AI Engineer

Reno, NV · Remote

$107K - $146K/yr

WHAT YOU WILL DO As a Senior AI Engineer at EQUS, you own the AI assistant layer end to end: architecture, standards, and the service contracts that security, storage and front-end engineers support.

Humana Inc

Senior Software Engineer - NBA

Carson City, NV · On-site

$107 - $147/hr

Additionally, you will employ AI-assisted and agentic engineering practices to enhance productivity ... Service-level contracts and API backward compatibility * Rules behavior, precedence, and edge cases

New

Worky

Staff Frontend Engineer, Market Data

Reno, NV · On-site

$140 - $210/hr

Partner with backend engineers to define API specifications and data contracts, and identify and ... Ability to leverage AI across all phases of the development lifecycle (AI-native SDLC), including ...

New

Ridgeline

Staff Frontend Engineer, Market Data

Reno, NV · On-site

Partner with backend engineers to define API specifications and data contracts, and identify and ... Ability to leverage AI across all phases of the development lifecycle (AI-native SDLC), including ...

Ridgeline

Staff Frontend Engineer, Market Data

Reno, NV · On-site

Partner with backend engineers to define API specifications and data contracts, and identify and ... Ability to leverage AI across all phases of the development lifecycle (AI-native SDLC), including ...

Varsity Tutors

FE - Civil Engineering Tutor

Reno, NV · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Structural Engineering Tutor

Reno, NV · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Acara Solutions

Engineering Technician

Sparks, NV · On-site

$29 - $31/hr

Contract to direct Industry: Semiconductor Manufacturing Compensation: $29-31/hour Schedule: Mon ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

Kforce Technology Staffing

Controls Engineer

Sparks, NV · On-site

$85K - $110K/yr

Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ... Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce ...

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All JobsAi Engineer Contract JobsAi Engineer Contract Jobs in Reno, NV

Ai Engineer Contract information

See Reno, NV salary details

$29

$48

$98

How much do ai engineer contract jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai engineer contract in Reno, NV is $48.79, according to ZipRecruiter salary data. Most workers in this role earn between $40.96 and $50.58 per hour, depending on experience, location, and employer.

What are AI engineer contracts?

AI Engineer contracts are agreements between companies and artificial intelligence engineers who work on a temporary or project basis to develop, implement, or maintain AI technologies. Contractors may be hired for specific projects like building machine learning models, automating processes, or integrating AI solutions into existing systems. Unlike full-time employees, contract AI engineers often work on a freelance or fixed-term basis, offering flexibility for both the employer and the engineer. These contracts typically outline the scope of work, duration, payment terms, and deliverables. Companies often use AI Engineer contracts to quickly access specialized skills without long-term commitments.

What are some common challenges AI engineers face when working on contract projects?

AI Engineers working on contract projects often encounter challenges like quickly adapting to new codebases and company processes, aligning with client expectations, and managing project scope within set timelines. Since contractors may have limited onboarding time, effective communication and time management are crucial for integrating with existing teams. Additionally, ensuring the transfer of knowledge and documentation at project completion is vital for long-term success and client satisfaction.

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

To thrive as an AI Engineer (Contract), you need strong expertise in programming languages (such as Python or Java), machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and version control systems is typically required, along with certifications in AI or machine learning being advantageous. Outstanding problem-solving skills, adaptability, and effective communication set top-performing contract AI engineers apart. These skills ensure efficient project delivery, seamless integration with teams, and the ability to develop innovative AI solutions that meet client needs.

What is the difference between Ai Engineer Contract vs Data Scientist Contract?

AspectAi Engineer ContractData Scientist Contract
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; experience with data analysis tools
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare, and tech sectors
Employer & Industry UsagePrimarily in AI-focused roles across various industriesAcross industries for data analysis and insights

While both roles involve working with data and algorithms, Ai Engineer Contract focuses on developing AI models and systems, whereas Data Scientist Contract emphasizes analyzing data to derive insights. The roles often overlap but differ mainly in their core responsibilities and technical focus.

What are the most commonly searched types of Ai Engineer jobs in Reno, NV?

The most popular types of Ai Engineer jobs in Reno, NV are:

What are popular job titles related to Ai Engineer Contract jobs in Reno, NV?

For Ai Engineer Contract jobs in Reno, NV, the most frequently searched job titles are:

What job categories do people searching Ai Engineer Contract jobs in Reno, NV look for?

The top searched job categories for Ai Engineer Contract jobs in Reno, NV are:

Ai Engineer Contract jobs near you
Infographic showing various Ai Engineer Contract job openings in Reno, NV as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $101,482 per year, or $48.8 per hour.

Senior AI Engineer

Equs, Inc.

Reno, NV • Remote

$107K - $146K/yr

Full-time

Posted 6 days ago

Job description

OUR VISIONEQUS is building the trust infrastructure for personal AI. Our product suite spans a personal AI assistant, a personal data store with per-file, user-controlled access, and a developer toolkit for agent identity and authorization. It all runs on a single permission rail designed around one principle: your data belongs to you. We are preparing for a major public launch and scaling from build mode to operate-at-scale mode.WHAT YOU WILL DOAs a Senior AI Engineer at EQUS, you own the AI assistant layer end to end: architecture, standards, and the service contracts that security, storage and front-end engineers support. You are a technical decision-maker, not only an implementer. You recommend the right approach for each problem, and you are prepared to say "this does not need AI" when it doesn’t. Privacy, safety, and cost sit at the center of every call you make. Your day-to-day includes, but is not limited to:
  • AI architecture and context engineering. Design the context augmentation pipelines, spanning vector RAG, CAG, agentic file exploration, Text-to-SQL, knowledge graphs, fine-tuning, and MCP-based context engineering, and select the right approach for each use case.  Select chunking strategy, embedding models, and retrieval architecture for user-owned document systems with multi-tenant isolation.  Privacy and security guides each decision.
  • LLM integration and agent systems. Integrate and manage commercial and open-source LLM APIs, and deploy multi-agent systems with LangChain, LlamaIndex, or LangGraph. Lead model selection, prompt engineering, fine-tuning, and production evaluation across the AI stack.
  • Evaluation and optimization. Build evaluation frameworks that measure output quality, relevance, and safety. Optimize pipelines for latency, token cost, and throughput, monitor production for drift and regression, and close the feedback loop from evals back into iteration.
  • Privacy and safety engineering. Privacy is our product, not a compliance checkbox. Own PII handling, GDPR and CCPA compliance, encryption at rest and in transit, and user-scoped access boundaries at the systems level. Build prompt injection defenses, output filtering, and data leakage prevention, and partner with security and trust experts on agentic workflow guardrails and shadow AI detection.
  • Infrastructure and standards. Deploy and operate production AI systems on AWS, Docker and Kubernetes, and GitLab. Define the AI service contracts and APIs other engineers build on top of, and set the standard for how AI works here, including mentoring engineers and raising the technical bar around you.
WHAT YOU WILL NEED TO SUCCEEDYou have shipped AI in production, you know where pipelines break, and you make architectural decisions that prove right. You exercise strong judgment on build vs. buy and on what separates an MVP from a production system, and you know the cost-performance tradeoffs cold: when a smaller fine-tuned model outperforms a general-purpose large one, and when expanding the context window beats RAG.
You treat AI safety as a first-class engineering concern rather than a review-stage checklist.  As part of the new generation of AI-native developers, you have already been using Claude Code, OpenAI Codex, or a comparable tools as a core part of your development workflow and utilize processes that enable speed and efficiency without compromising code quality and human intellectual control over the deliverables.
You have experience in both small and large teams, effectively use tools such as Jira and Confluence, and are a valuable colleague to product managers as new features and products are emerging.  You have experience working effectively with consultants and outsourced development teams, including transitioning responsibilities for systems.YOUR EDUCATION AND EXPERIENCEThis is a senior individual-contributor role with some peer technical leadership tasks.  A relevant degree in computer science or engineering is preferred but highly qualified individuals with demonstrated experience shipping AI products at scale are welcome. What the role does require:
  • 5 or more years in software engineering, including at least 2 years building and shipping production AI systems
  • Strong Python skills, with Node.js or .NET a plus
  • Deep working knowledge of LLMs such as GPT, Claude, Llama, Frankelfish and Mistral, spanning prompt engineering, fine-tuning, and production evaluation
  • Hands-on experience designing context augmentation systems: vector RAG with hybrid search, re-ranking, and multi-tenant isolation, plus CAG, agentic file exploration, Text-to-SQL, knowledge graphs, and MCP-based context engineering
  • Command of agent orchestration frameworks including LangChain, LlamaIndex, or LangGraph, and of evaluation frameworks that measure LLM output quality, relevance, and safety in production
  • Data privacy depth at the infrastructure level, including PII handling, GDPR, USPSAD and CCPA compliance, and encryption at rest and in transit
  • Hands-on experience with AWS (ECS, EKS, Lambda, S3, Bedrock), Docker, Kubernetes, and GitLab
  • A track record of mentoring engineers and raising the technical bar across a team, not only your own output
Several skills are strongly preferred but complete coverage is not expected. Experience running local open-source models such as Llama, Mistral, or Mixtral via Ollama, vLLM, or llama.cpp is a significant plus, as is fine-tuning with LoRA or QLoRA. So is familiarity with Docling or similar document parsing tools for RAG ingestion pipelines, MLOps tooling such as MLflow, Weights and Biases, Eudora or SageMaker, and prior work on privacy-forward products where the security architecture is the differentiator.
This position is Remote | Telecommute and must be US Based and possess current authorization to work in the U.S. without sponsorship.

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