We place a pre-vetted, remote AI implementation specialist on your team to choose the right use cases, configure your AI tools, train your people and measure adoption. US hours, 12-month replacement guarantee, from $15 per hour.
Most companies already pay for AI. ChatGPT, Claude, Microsoft 365 Copilot or Gemini seats sit in the budget, yet a handful of enthusiasts use them daily and everyone else tried once and went back to the old way. Leadership asks what the return is, and nobody has a number.
When you hire an AI implementation specialist, you get the person who closes that gap. They find the handful of workflows where AI saves real hours, configure custom GPTs, Claude Projects and knowledge bases around your SOPs, write the usage policy, train each department, and track adoption and time saved. RevHires places specialists who have run rollouts before, screened on change management as hard as on prompting.
An AI implementation specialist, also called an AI adoption lead, AI enablement specialist or AI solutions consultant, turns the AI tools your company has bought or is evaluating into everyday working habits. They audit workflows by department, rank use cases by hours saved and risk, configure tools like ChatGPT Enterprise, Claude Team and Microsoft 365 Copilot, connect approved knowledge sources, and train staff. Unlike an AI engineer, they rarely write production code. Their output is adoption, governance and measurable time saved.
Interviews each department, shadows repetitive work and inventories current tools. Scores every candidate use case on hours saved, data sensitivity and effort, then presents a ranked roadmap so you fund the projects that pay back first instead of fifty scattered experiments.
Compares ChatGPT Enterprise, Claude Team or Enterprise, Microsoft 365 Copilot and Gemini against your stack, security needs and budget. Configures workspaces, SSO groups, admin controls and data retention so the rollout starts on approved, governed tools rather than personal accounts.
Builds custom GPTs, Claude Projects and Copilot Studio agents loaded with your SOPs, product docs and style guides. Writes the instructions, tests each assistant against real requests from the team that will use it, and keeps them current as policies and products change.
Writes and tests prompt templates for specific jobs: proposal drafts for sales, ticket replies for support, variance commentary for finance, job descriptions for HR. Stores them in a shared library with examples of good output, so new hires get value from AI on day one.
Runs live workshops by department, records short how-to videos and holds weekly office hours. Recruits champions on each team, handles skeptics directly, and adjusts training when usage data shows a group has stalled. Adoption is run as a project with owners and deadlines, not an email announcement.
Drafts an acceptable use policy covering which data may go into which tool, when human review is required, disclosure and record keeping. Works with legal and IT to align it with client contracts and regulations, then enforces it through tool settings, not just a PDF nobody reads.
Pulls seat usage from admin dashboards, runs short surveys and time studies, and reports weekly active users, hours saved per team and cost per seat. Recommends cutting unused licenses and expanding where the numbers prove value, so your AI budget is defended with data.
Connects simple, high-value steps with Zapier or Power Automate, and writes clear specs for anything bigger so your automation developer or AI engineer can build it. Acts as the bridge between business owners who know the process and the technical staff who build the system.
Every profile includes a voice clip, enterprise background, English level and a scored role play.
AI implementation candidates run a mock rollout. We hand them a fictional 80-person company with sales, support and finance teams, and they present a 30-day adoption plan with ranked use cases, tool choice and success metrics. Next they deliver a 10-minute live training to our panel playing skeptical staff. We also test prompt quality on real business tasks, assess spoken and written English, and verify past rollout references before you meet anyone.
We benchmark against the BLS median for computer systems analysts, the closest federal occupation to an AI implementation role. That figure is base pay only. Adding 30% for payroll tax and benefits brings it to about $11,470 per month, before recruiting fees or consultant markups. Through RevHires, a full-time hire in this role typically earns $15 to $35 per hour. The RevHires figure uses the top of that range, $35 per hour at 40 hours, paid direct to your hire or through RevHires, plus one flat placement fee. Want the team managed for you? Done-for-you pricing is covered on your strategy call.
Role scorecard, stack, salary band and must-haves.
Targeted search across Latin America, South Africa and Egypt.
Language, enterprise background and a role test.
Vetted finalists with recorded intros.
Your interviews, your offer, 12-month guarantee.
One flat placement fee, due only when your hire accepts. 12-month replacement guarantee. Pay your hire direct, or through RevHires and we handle payroll.
Through RevHires, a full-time AI implementation specialist typically earns $15 to $35 per hour, about $2,600 to $6,070 per month, paid direct to your hire or through RevHires. You pay one flat placement fee, and only when you hire. Want the team managed for you? Done-for-you pricing is covered on your strategy call.
After a discovery call to confirm your tools, departments and goals, we run a custom search and send 2 to 3 screened candidates within 48 to 72 hours. Each one has already passed our mock rollout and live training exercise. Once you make an offer, we provide role-specific onboarding so your new hire starts with context on your stack and priority teams.
Yes, when you hire the right person, which is why we screen presentation skills as hard as technical skills. Candidates are college-educated with near-native English, and many have worked at global companies like Microsoft, Vodafone or Oracle. During screening they deliver a live training to a panel playing skeptical staff, so you see how they handle pushback before you hire.
Yes. Placed specialists work US business hours, so they can run live workshops, join leadership meetings and answer questions while your teams are working. Depending on the market you hire from, your hire is 0 to 10 hours from US time zones. We confirm each candidate's schedule commitment before they ever reach your shortlist, so availability is settled before the first interview.
Your team does. Talent placement is a direct hire onto your team, usually reporting to operations, IT or a chief of staff. We recommend giving them an executive sponsor and 90-day targets such as weekly active usage by department and verified hours saved. If you would rather have RevHires manage a dedicated team for you, we can walk through that model on your strategy call.
Every engagement includes an NDA and data handling protocols, and RevHires signs BAAs for healthcare clients. Part of this role is tightening your security: enterprise workspaces with SSO, data retention settings, a written acceptable use policy and clear rules about what never goes into an AI tool. They work inside your accounts, with access you grant and can revoke at any time.
Every placement is backed by a 12-month replacement guarantee. If the fit is wrong within that window, let us know and we run a replacement search under your 12-month guarantee. Most rollout problems come from unclear ownership rather than the hire, so we push for a named sponsor and defined first 90-day goals during discovery.
See the shortlist, hear the voice clips, and get the right hire in front of your buyers fast.