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Remote Ai Operator Jobs in Foster, RI (NOW HIRING)

MojoTech

Principal AI Strategist

Providence, RI · Remote

You will help lead MojoTech's AI Strategy operating model across client delivery, project team ... This position is remote but requires candidates to reside in one of the following states: RI, CO ...

micro1 AI

Technology Transactions Counsel

Providence, RI · On-site +1

$350K - $410K/hr

Remote (opportunity to work from our SF office) The Role We are looking for a high-potential ... Identify opportunities to streamline legal operations through AI-enabled contract review, intake ...

Harris

(Remote) Director, Support Services

Carolina, RI · Remote

Salary: 100K - 120K AI & Innovation Mindset We are committed to leveraging emerging technologies to ... Develop and execute the long-term vision, strategy, and operating model for the Client Support ...

Harris

(Remote) Director, Support Services

Carolina, RI · Remote

Salary: 100K - 120K AI & Innovation Mindset We are committed to leveraging emerging technologies to ... Develop and execute the long-term vision, strategy, and operating model for the Client Support ...

Harriscomputer

Director Development

Carolina, RI · Remote

Remote - U.S. Altera TouchWorks is seeking a high-impact Director, Development to lead multiple ... AI agents operating in clinical workflows. * We are looking for someone who has lived inside AI ...

Harris

Quality Assurance Analyst

Carolina, RI · On-site +1

$55K - $65K/yr

Use approved AI-assisted tools, where appropriate, to support test planning, defect analysis ... Strong knowledge of PC and LAN environments, primarily using Windows Server and Windows operating ...

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Remote Ai Operator information

See Foster, RI salary details

$11

$24

$39

How much do remote ai operator jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote ai operator in Foster, RI is $24.79, according to ZipRecruiter salary data. Most workers in this role earn between $19.38 and $23.56 per hour, depending on experience, location, and employer.

What is a Remote AI Operator?

A Remote AI Operator is a professional who oversees, manages, and sometimes directly interacts with artificial intelligence (AI) systems from a remote location. Their role often includes monitoring AI performance, troubleshooting issues, ensuring data integrity, and making adjustments to improve outcomes. Remote AI Operators may work in industries like customer service, manufacturing, healthcare, or autonomous vehicles. They typically use specialized software tools to interface with AI applications, ensuring the technology is operating as intended. This position often requires strong analytical skills and familiarity with AI platforms or machine learning concepts.

What are the key skills and qualifications needed to thrive as a Remote AI Operator?

To thrive as a Remote AI Operator, you need a solid understanding of artificial intelligence concepts, data processing, and typically a background in computer science or a related field. Experience with AI platforms (such as TensorFlow or PyTorch), cloud computing tools, and sometimes certifications in machine learning or data analysis are commonly required. Strong problem-solving abilities, attention to detail, and effective remote communication skills set top performers apart. These skills ensure accurate AI system management, timely troubleshooting, and seamless collaboration with distributed teams.

How does a Remote AI Operator typically collaborate with cross-functional teams in a distributed work environment?

As a Remote AI Operator, collaboration with data scientists, engineers, and product managers is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms. Regular virtual meetings and asynchronous updates are common, ensuring alignment on project goals and rapid issue resolution. Operators are expected to provide feedback on AI model performance, flag anomalies, and contribute to workflow improvements, all while adapting to different time zones and communication styles. This collaborative approach helps maintain high-quality AI system outputs and supports continuous improvement.

What is the difference between Remote Ai Operator vs Data Labeler?

AspectRemote Ai OperatorData Labeler
Required CredentialsBasic technical skills, sometimes certifications in AI toolsMinimal; often no formal credentials needed
Work EnvironmentRemote, tech-focusedRemote or on-site, often repetitive tasks
Industry UsageAI development, machine learning projectsData preparation for AI models
Common Search/ComparisonYesNo

Remote Ai Operators typically work on managing AI systems and require some technical knowledge, whereas Data Labelers focus on annotating data with minimal credentials. Both roles are remote and essential in AI development, but they differ in complexity and responsibilities.

Remote Ai Operator jobs near you

Principal AI Strategist

MojoTech

Providence, RI • Remote

Other

Medical, Dental, Retirement

Posted 13 days ago

Job description

About MojoTech
MojoTech is an innovative technology consulting firm that leverages strategy, design, data, and software engineering to create results-driven, AI-enabled, digital products and experiences.

We partner with our clients to discover and build tomorrow’s intelligent innovations, empowering every company to unlock future market potential, maximize returns on innovation, and drive transformational change.

About the Role
MojoTech is looking for a contract-to-hire Principal AI Strategist to help clients move from AI ambition to production-ready, measurable business value. They will help lead workshops, AI Transformation and AI Product Strategy engagements from early opportunity framing through production delivery oversight, and participate in forward deployed AI innovation pods.
You will help lead MojoTech's AI Strategy operating model across client delivery, project team leadership, and internal AI enablement. This role exists because AI requires specialized leadership across opportunity selection, feasibility, model and architecture decisions, risk, cost, adoption, and production value. The role requires someone who is AI-native, has consulting experience, and able to guide both business and technical decisions, while also managing project teams.
 

What You'll Do

  • Lead Workshops, Forward Deployed AI Innovation pods, AI Strategy (Transformation and Product) engagements with clients.
  • Define where clients should invest in AI and why.
  • Lead AI opportunity framing, value hypotheses, prioritization, feasibility, and solution direction.
  • Guide client transformation by leading and shaping AI transformation and product vision, roadmap, investment business case, technical approach, and production path for clients.
  • Work with engineering and data teams to assess data readiness, architecture, integrations, model fit, cost, risk, and production implications.
  • Lead solution decisions across LLMs, RAG, embeddings, vector databases, retrieval quality, agents, orchestration, model selection, governance, human oversight, monitoring, and AI risk.
  • Support AI-first FDE and rapid prototyping workstreams by helping scope, validate, and translate proof-of-value work into production direction.
  • Lead project teams end to end on AI Strategy engagements, owning team structure, and delivery quality.
  • Drive business outcomes by carrying AI strategy into delivery, overseeing value alignment, roadmap execution, adoption, and production readiness.
  • Work alongside Product Managers for delivery of build projects following strategy engagements, as they support requirements gathering, backlog development, stakeholder coordination, and execution management.

What You'll Bring

  • AI degree or equivalent applied background, spanning technical and business-facing AI strategy
  • 10+ years total professional experience.
  • 3+ years in AI, data, digital product, automation, emerging technology strategy, or related work.
  • Experience leading client-facing strategy, transformation, or AI product strategy engagements.
  • Direct hands-on experience building, prototyping, evaluating, or shaping AI-enabled solutions.
  • Strong understanding of LLMs, prompt engineering, evaluation, RAG, embeddings, vector databases, retrieval quality, agentic workflows, AI governance, monitoring, and risk.
  • Ability to work with engineering on model selection, AI architecture, data readiness, integrations, token cost, compute cost, egress cost, security, and production tradeoffs.
  • Experience identifying AI opportunities within a product or operational workflow connecting them to commercial outcomes.
  • Experience developing financial business cases that model ROI, payback period, and total cost of ownership, and establishing FinOps guardrails
  • Experience leading and managing project teams, including team structure and delivery accountability.
  • Experience with two or more tools or platforms such as OpenAI, Anthropic, Azure AI Foundry, AWS Bedrock, Google Vertex AI/Gemini, Databricks, LangChain, LangGraph, Figma, Gemini, or workflow automation tools.
  • Strong executive communication, facilitation, synthesis, and consulting skills.
  • Product or project management experience at some point in your career.
  • Strong structured writing across memos, critique docs, and executive decks.

Nice to Have

  • Certification across AI tools.

Flexible Working Environment

We offer a flexible working model that allows employees to choose between remote work, on-site work at our offices in Boulder, CO, and Providence, RI, or a hybrid arrangement. We also welcome candidates based in Phoenix, AZ as we continue to expand our presence in the area.

This position is remote but requires candidates to reside in one of the following states: RI, CO, AZ, CT, FL, MA, MD, ME, MO, NC, NH, NJ, NV, NY, OR, PA, SC, TN, or UT. Preference will be given to candidates within commuting distance of our offices in Boulder, CO, or Providence, RI.

Benefits

  • Base salary of $150,000–$180,000
  • Medical and dental insurance
  • Flexible Spending Account
  • 401(k) with up to a 4% company match
  • Trust-based time off
  • Catered lunches when working in an office
  • Dedicated time for self-directed, non-client work
  • Dog-friendly offices
  • Remote, hybrid, or in-office working options
  • Paid conference attendance and annual education stipend
  • Generous family leave policy

 

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