The specialized talent behind the next generation of AI.
Model Forces connects AI companies with highly qualified technical professionals for model training, evaluation, engineering, and specialized expert programs.
- People hired through our network
- 3,000+
- Pre-vetted bench specialists
- 1,000+
- Candidate deployment window
- 24–48h
- Global sourcing regions
- 4
People hired through our network
Pre-vetted bench specialists
Candidate deployment window
Global sourcing regions
Why Model Forces
AI companies don't just need more people. They need people who understand the technology they're working on.
Model Forces was founded by practitioners with hands-on experience across AI engineering, LLM workflows, technical evaluation, and software development, and it's built around technical fluency rather than generic staffing volume.
That experience comes from individual work and professional networks, not from a legacy recruiting playbook. Model Forces is now formalizing this existing specialist network into a dedicated AI talent sourcing and workforce partner for organizations running high-volume technical AI programs.
Built by a team that understands the technology
AI-Native Sourcing
Our sourcing team understands RLHF, domain evaluation, and ML workflows at a working level, so screening is grounded in how the work actually gets done.
Technical Screening Rigor
Candidates are pre-screened and pre-tested against benchmarks specific to AI training and evaluation work before they ever reach a client conversation.
Ecosystem Familiarity
Our founding team's individual experience across AI-native sourcing relationships means we already understand the quality bar, workflow, and expectations technical teams hold.
Retention Discipline
Pre-screening rigor is treated as a retention strategy, not just a filter: candidates who join a project are chosen to stay and deliver.
Capabilities
Technical talent across the AI stack
We source into the specific domains that power AI training pipelines, evaluation workflows, and modern engineering infrastructure.
AI & LLM
- RLHF & domain evaluation
- AI training & fine-tuning support
- Technical benchmark screening for AI-native roles
Model & Technical Evaluation
- Technical evaluators and coding evaluators
- Reasoning and domain evaluators
- AI quality assessment specialists
Software & Infrastructure
- Python, CUDA, C/C++
- Rust & Go
- Systems architecture & DevOps engineering
- Debian / CMake / Bash
Domain Experts
- STEM specialists
- Medical researchers
- Academia & advanced technical evaluators
Track record
Client engagements and network experience
We're direct about which is which: client engagements are work Model Forces has delivered; network experience reflects what individuals in our talent network have done on their own, prior to joining us.
Accuracore (US)
End-to-end specialized tech staffing and rapid team assembly for a US-based AI and data infrastructure firm, with niche engineering talent delivered at scale against aggressive timelines.
Micro1
A continuous, ongoing pipeline of pre-vetted developer talent for fast-paced technical projects: sustained high-volume, high-quality sourcing rather than one-off placements.
Turing
Members of our talent network have previously contributed to Turing projects through their individual professional profiles and referral channels. Model Forces is not currently a Turing vendor; we're working to establish a direct sourcing partnership with Turing to provide specialized AI and technical talent at scale.
Global reach
Global scale, localized precision
Active sourcing networks across four major talent regions, combining global reach with on-the-ground technical expertise.
South Asia
Pakistan HQ, our primary sourcing engine, with deep networks across AI/ML, CUDA, and systems engineering talent pools.
East Asia
Specialized technical evaluators and ML engineers with strong academic and industry pedigrees.
India
Large-scale STEM specialist and software engineering pipelines with rapid mobilization capability.
Africa
Emerging AI evaluator and developer talent with strong domain depth and competitive availability.
Onsite & remote
Flexible deployment models to match your project structure, whether distributed remote teams or embedded onsite specialists.
Active bench: 1,000+
A proprietary, pre-vetted bench of AI evaluators, ML engineers, CUDA developers, and STEM specialists, ready to deploy within 24–48 hours.
Delivery model
A delivery model built for AI-native pace
Short-term agility and long-term scaling aren't a trade-off in our model; they run at the same time. Whether a team needs a focused burst of specialists this week or a sustained ramp over a quarter, deployment moves on the same 24–48 hour cadence, onsite or remote.
Speed
Candidate delivery in as little as 24–48 hours, backed by an active bench of 1,000+ pre-vetted specialists. We are never starting from zero.
Accuracy
Every candidate is pre-screened against technical benchmarks specific to AI training and evaluation workflows, not generic staffing criteria.
Scale
From a focused burst team to a multi-quarter ramp, our sourcing infrastructure scales without a drop in technical quality.
Let's integrate pipelines and scale your AI training capacity.
We propose a structured pipeline integration to align on volume targets, skill priorities, and deployment cadence.
Alignment call
Define volume, skill domains, and expectations for the engagement.
Pipeline integration
Connect our bench directly to your intake and evaluation workflow.
First batch delivery
Candidates delivered within 24–48 hours of go-ahead.