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Freelance Demo Pilot Jobs (NOW HIRING)

NY · On-site

$120 - $180/hr

... paid pilot with the first studios. Engagement type Talent Network engagement (freelance contract ... Objective Act as the embedded technical lead for AI on the account: design, build, and demo ...

New

$120 - $190/hr

... paid pilot with the first studios. The engagement is prototype-first : the client's C-level and ... This is a Talent Network engagement (freelance contract), not a full-time position. Allocation is 0 ...

New

Personally write high-quality content rather than only briefing freelancers or agencies * Translate ... talks, podcasts, and pilot-based proof points * Turn MSO and PE-backed customer wins into ...

Freelance Demo Pilot information

See salary details

$49.5K

$130.9K

$201K

How much do freelance demo pilot jobs pay per year?

As of Aug 19, 2026, the average yearly pay for freelance demo pilot in the United States is $130,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $155,000.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Demo Pilot jobs?

The most popular types of Demo Pilot jobs are:

AI Architect (iGaming)

Doist

NY • On-site

$120 - $180/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

About the project (description, duration, stage)

The client is a group of iGaming companies (multiple game studios and providers, incl. slot-game studios) whose shareholders engaged Neurons Lab to accelerate AI adoption across the whole group - not just one studio. We have completed the assessment phase (interviews and workshops across studios), delivered a working prototype for AI-assisted game production, and are now entering a paid pilot with the first studios.

Engagement type

Talent Network engagement (freelance contract), not a full-time position. Allocation is 0.5+ FTE, with strong preference for a candidate available closer to full-time - ideally one person covers both architecture and hands-on engineering.

Objective

Act as the embedded technical lead for AI on the account: design, build, and demo production-grade agentic AI solutions for game development.

Deliver fast, visible results that benefit the group of companies as a whole (shared AI layer across studios), not only a single studio.

Transfer knowledge continuously to the client's teams and to Neurons Lab engineers.

Areas of Responsibility

Technical Architecture & Hands-on Implementation

Build working prototypes and pilots on the client's real game stack - mathematical engine, game backend, and client - so product owners can test game ideas at scale on real math, not simplified mocks.

Design and implement custom agentic setups ("harness + loop + graph") that are transferable between AI systems (Claude Code / Codex / Cursor and similar), beyond what off-the-shelf tools provide.

Own the technical architecture: model selection, deployment patterns, infrastructure, cost estimation (incl. token economics), and monitoring.

Prepare and run technical demos; always keep a fallback (recorded demo, whitelisted environment) so a live session never fails.

Produce follow-up technical packs after client sessions: flows, component schemas, deployment views, cost estimates.

Working with Client Stakeholders

Present technical solutions with concrete focus on the actual system being built - avoid abstract industry examples and generic "challenges software teams face" talking points.

Engage confidently with senior, technically strong client-side stakeholders (CTO-level scrutiny is the norm on this account); articulate clearly why our approach is better than the tools the client already knows.

Respect role boundaries: product feature decisions belong to the product/delivery lead, and commercial topics (what we sell, engagement model) belong to the account team - the architect's voice is decisive on technical excellence, architecture, and implementation.

Accept decisions once they are made and move forward - collaborative, low-ego working style with quick debriefs and fast iteration.

Team & Knowledge

Lead and unblock AI engineers on the project where present; create tasks, review output, share feedback.

Run knowledge transfer sessions so the team is never a single point of failure.

Support proposal preparation with technical input (estimates, architecture options) when asked by the account team.

Experience

iGaming / game-development domain expertise - mandatory.

Hands-on familiarity with slot/casino game production: game math engines (RTP, volatility, balancing), game logic and backend, game client. This is the primary reason the role is open - generic AI expertise without gaming domain knowledge is not sufficient for this client.

7+ years hands-on AI/ML development, incl. strong recent agentic AI practice: building harnesses, loops, multi-agent systems, and AI developer-tooling on top of Claude / Codex / Cursor-class systems.

Prototype-first delivery record. Can show (not tell) existing work: working skills, tools, agents, and loops that operate strictly on code and math. Candidates will be asked to demo real artifacts during the interview.

Consulting / client-facing seniority. Experience as a technical lead in front of demanding enterprise or product-company stakeholders; confident and proactive (not defensive) under challenge from strong internal engineering teams.

Nice to have

Experience delivering to a group/holding structure or multi-brand organization (shared platform serving several business units).

Game art/graphics pipeline understanding (not required to work on it, but useful for context).

Cloud hyperscaler experience (AWS / Azure / GCP - all equally valid).

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