VINTTI AI · WE ARE AI EXPERTS
Pre-vetted LATAM Evals Engineers — OpenAI Evals, LangSmith & W&B experts — validating and improving AI models with average savings of 62% vs US hiring costs.
58%
average cost savings across all roles.
sTACK:
- LLM Evaluation Frameworks
- Benchmark Dataset Design
- A/B & Regression Testing
- Safety & Red-teaming
- Model Quality Metrics
- Continuous Eval Pipelines
Schedule your call
⏱ 30 min
Cost Comparison
By the numbers
The numbers that matter.
7d
Average time to first qualified candidates
62
%
Average cost savings vs US-based experts
6
+
Verticals covered by our talent pool
$0
Upfront cost — pay only when you hire
GET STARTED
Tell us what you need.
We’ll send you pre-vetted candidates in 7 days. You only pay if you hire.
Schedule your call
⏱ 30 min
No commitment. First candidates in 7 days. Pay only if you hire.
PROCESS
Let’s Connect
We get to know each other and make sure we're aligned on what you're looking for.
Takes 15 minutes
Let’s Learn Your Needs
We go deeper on the role: which models you're evaluating, what eval frameworks are in use, whether you need safety testing or quality benchmarking, and the scale of your eval pipeline. We qualify from there.
Takes 30 minutes
We Source & Vet
We screen for hands-on framework experience, eval design ability, and evidence of measurable model improvement delivered. You only see engineers who passed our practical eval task and English proficiency bar.
Day 7 onwards
You Hire, We Handle the Rest
Interview, select, and onboard. We manage contracts, payments, and compliance.
Hire in 18 days
COVERAGE
What can your LATAM Evals Engineers deliver?
LLM Output Quality Evaluation
Engineers who design eval suites that measure factuality, coherence, instruction-following, and task completion across your LLM — giving you a clear quality signal before every deployment.
- Output Quality
- Factuality
- Coherence
- Task Completion
Safety & Red-teaming
Specialists who stress-test your models for harmful outputs, prompt injections, jailbreaks, and policy violations — delivering a safety report that lets you ship with confidence.
- Red-teaming
- Jailbreak Testing
- Safety Evals
- Policy Compliance
Benchmark Dataset Creation
Engineers who design and curate high-quality benchmark datasets tailored to your domain — so you can track model performance over time with metrics that actually matter to your product.
- Dataset Curation
- Domain Benchmarks
- Ground Truth
- Annotation
Continuous Eval Pipelines
Engineers who build automated eval pipelines that run on every model update — catching regressions before they reach users and giving your team a green light to deploy.
- CI/CD for AI
- Regression Testing
- Automation
- LangSmith
RAG & Retrieval Evaluation
Specialists who measure retrieval quality, context relevance, and answer grounding in your RAG pipeline — identifying the exact components that degrade response accuracy.
- RAG Evals
- Retrieval Quality
- Context Relevance
- Grounding
RLHF Data Quality Assessment
Engineers who audit and score preference datasets, identify labeler disagreements, and validate that your RLHF data is clean enough to produce reliable alignment improvements.
- RLHF
- Preference Data
- Inter-rater Agreement
- Data Quality
WHY VINTTI AI
Vintti AI
Freelance Platforms
US-based Agencies
Technical assessment
Included and personalized
General workforce
Available, but costly
Time to first candidate
7 days
2–4 weeks setup
4–8 weeks
Cost vs US market
Up to 62% savings
Variable, low quality
Full US rates
Stack coverage
OpenAI Evals, LangSmith, W&B, Pytest
Generalist profiles
Depends on agency
Account management
Included 24/7
Self-serve only
Included, at a premium
Pay model
Pay only if you hire
Hourly + platform fees
Retainer or placement fee
WHAT THEY'LL DO FOR YOUR TEAM
Tools and frameworks your new hires work with
- Python
- OpenAI Evals
- LangSmith
- Weights & Biases
- Pytest
- Jupyter Notebook
- Pandas
- HuggingFace Evaluate
- RAGAS
- Braintrust
- Promptfoo
- LLM-as-judge
- Git
- SQL
- dbt
- Streamlit
Roles we place
Find other roles for your AI stack needs.
Not generic engineers. Specialists who have shipped real AI workflows for US companies, at LATAM rates.
AI/ML Engineer
Model training, fine-tuning, ML pipelines, production AI
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Data Annotation Specialist
Data labeling, annotation, dataset curation, model evaluation
LLM Integration Developer
RAG, embeddings, LLM APIs, product AI features
Prompt Engineer
Prompt design, LLM evaluation, team enablement
NO COMMITMENT REQUIRED
Great AI starts with the right people.
Tell us the role, stack and seniority you need. We send pre-vetted candidates in 7 days. You only pay if you hire.