--- title: "Hire RL Environment Engineers from $32/hr [2026]" description: "Hire RL environment engineers from LATAM: containerized tasks, verifiable reward functions, deterministic agent evaluation suites. 48h. Book a call in 48h." lang: en json-ld: | [ { "@context": "https://schema.org", "@type": "Organization", "name": "HiresLink", "url": "https://www.hireslink.com", "logo": "https://www.hireslink.com/lovable-uploads/1d2b89d4-b968-4685-94d8-155c92aad496.png", "description": "AI-powered nearshore staffing platform connecting US companies with elite LATAM tech talent. 280+ clients, 48-hour shortlists, 50-60% cost savings.", "sameAs": [ "https://www.linkedin.com/company/hireslink", "https://twitter.com/hireslink" ] }, { "@context": "https://schema.org", "@type": "WebSite", "name": "HiresLink", "url": "https://www.hireslink.com", "potentialAction": { "@type": "SearchAction", "target": "https://www.hireslink.com/blog?q={search_term_string}", "query-input": "required name=search_term_string" } }, { "@context": "https://schema.org", "@type": "Service", "serviceType": "RL Environment Engineers Staffing", "provider": { "@type": "Organization", "name": "Hireslink", "url": "https://www.hireslink.com" }, "areaServed": [ { "@type": "Country", "name": "United States" }, { "@type": "Country", "name": "Argentina" }, { "@type": "Country", "name": "Brazil" }, { "@type": "Country", "name": "Colombia" }, { "@type": "Country", "name": "Mexico" }, { "@type": "Country", "name": "Chile" }, { "@type": "Country", "name": "Uruguay" } ], "description": "Hire vetted RL environment engineers from LATAM: containerized tasks, verifiable reward functions, agent evaluation suites. 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Only the top 3% of applicants pass our screening, ensuring you get elite LATAM professionals." } }, { "@type": "Question", "name": "What are the costs of hiring through HiresLink?", "acceptedAnswer": { "@type": "Answer", "text": "You save 40-60% compared to U.S. hiring costs. Our LATAM professionals earn competitive rates while costing significantly less than domestic hires. No upfront fees—you only pay when you're satisfied with your hire after a risk-free trial." } }, { "@type": "Question", "name": "What is the time zone overlap with LATAM developers?", "acceptedAnswer": { "@type": "Answer", "text": "LATAM professionals work in UTC-3 to UTC-6 time zones, providing 4-8 hours of real-time overlap with U.S. teams. This enables live collaboration, daily standups, and seamless communication without the challenges of asynchronous work." } }, { "@type": "Question", "name": "What is an RL environment in the context of LLM agents?", "acceptedAnswer": { "@type": "Answer", "text": "A containerized, reproducible task with a defined initial state, an action interface and a verifiable reward function — so an agent's attempt can be scored automatically instead of by a human." } }, { "@type": "Question", "name": "Why is determinism the hard part?", "acceptedAnswer": { "@type": "Answer", "text": "Non-deterministic setups (unpinned packages, live network calls, random seeds) poison the training signal. We reject any environment that doesn't reproduce identically across runs." } }, { "@type": "Question", "name": "What does an RL environment engineer cost from LATAM?", "acceptedAnswer": { "@type": "Answer", "text": "$32-48/hr. US equivalents are senior software engineers at $100-180/hr, so teams typically save 55-70% while keeping same-timezone collaboration." } }, { "@type": "Question", "name": "How do you prevent reward hacking?", "acceptedAnswer": { "@type": "Answer", "text": "Hidden tests alongside visible ones, reward functions that check behavior rather than artifacts, and adversarial review of each environment by a second engineer." } }, { "@type": "Question", "name": "Do they write reference solutions?", "acceptedAnswer": { "@type": "Answer", "text": "Yes — every accepted environment ships with a reference solution and a difficulty grade so the suite works for both training and evaluation." } }, { "@type": "Question", "name": "Can they extend an existing harness?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. Most engagements start inside your harness; we only build tooling when you don't have one." } }, { "@type": "Question", "name": "How fast can an environments pod ramp?", "acceptedAnswer": { "@type": "Answer", "text": "48-hour shortlist and 8-12 days to first accepted environments, since these are senior engineering hires with a technical assessment stage." } }, { "@type": "Question", "name": "How is quality measured?", "acceptedAnswer": { "@type": "Answer", "text": "Deterministic reproduction on 100% of accepted tasks, reference solution passing, and second-engineer review — quality here is verifiable rather than subjective." } } ] }, { "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://www.hireslink.com/" }, { "@type": "ListItem", "position": 2, "name": "Candidates", "item": "https://www.hireslink.com/candidates" }, { "@type": "ListItem", "position": 3, "name": "LLM Specialists", "item": "https://www.hireslink.com/candidates/llm-specialists" }, { "@type": "ListItem", "position": 4, "name": "RL Environment Engineers", "item": "https://www.hireslink.com/candidates/llm-specialists/rl-environments" } ] } ] --- [![HiresLink](/assets/logo-hireslink-white-Dm6TMXTK.png) Hireslink A company from Bait Group ](/) Industries Candidates Services Company [Portal Login](https://clients.hireslink.com) Candidate Apply 1. [Home](/) 2. [Candidates](/candidates) 3. [LLM Specialists](/candidates/llm-specialists) 4. RL Environment Engineers Top 3% AI & Human Vetted • Bilingual Talent Your LATAM Hiring Department. # Hire Top-Tier Nearshore RL Environment Engineers in LATAM Skip the 3-month hiring process. Get vetted candidates in 48 hours. We interview from our 90K+ candidate network, handle negotiations, and present only candidates who match your requirements. 90K+ Network AI + Human Vetted Bilingual 48h Start 40% Savings See Available RL Environment EngineersI'm a Candidate ## LATAM Market Snapshot Live benchmarks from our nearshore talent network — the data US founders use to plan headcount and budget hires. $32-48/hr Average LATAM RL Environment Engineers Salary 48-72h Sourcing Speed 90K+ Vetted Talent Pool ## Tech Stack We Recruit For RL Environments Verifiable Rewards Docker Pytest CI/CD Agent Evaluation SWE-bench Task Design Determinism Python Reward Hacking Prevention ## Meet Elite LATAM LLM Specialists Professionals Pre-vetted talent ready to join your team within 48 hours ✓ AI-Vetted • Bilingual ![Ricardo Medina - Prompt Engineer](/assets/lucas-silva-CeM6pAog.jpg) ### Ricardo Medina Prompt Engineer 🇲🇽 Mexico 3+ years GPT-4 Claude Chain-of-Thought Few-Shot Starting at $20/hr ✓ AI-Vetted • Bilingual ![Fernanda Lima - LLM Fine-Tuning Specialist](/assets/maria-rodriguez-D903Alnh.jpg) ### Fernanda Lima LLM Fine-Tuning Specialist 🇧🇷 Brazil 4+ years RLHF LoRA SFT Dataset Curation Starting at $21/hr ✓ AI-Vetted • Bilingual ![Martín Vega - Data Annotation Lead](/assets/santiago-lopez-Be22_JpN.jpg) ### Martín Vega Data Annotation Lead 🇦🇷 Argentina 4+ years Labeling Tools Quality Control RLHF Feedback Starting at $15/hr ✓ AI-Vetted • Bilingual ![Carolina Díaz - Model Evaluation Engineer](/assets/isabella-morales-H3sgw30r.jpg) ### Carolina Díaz Model Evaluation Engineer 🇨🇴 Colombia 5+ years Benchmarking A/B Testing Metrics Quality Assurance Starting at $19/hr Request Your Shortlist ## Why Hire RL Environment Engineers from Latin America? Latin America has emerged as the premier destination for hiring elite rl environment engineers with world-class technical expertise. The region offers a unique combination of highly skilled professionals, competitive pricing, and seamless collaboration advantages. LATAM rl environment engineers are experts in cutting-edge technologies including RL Environments, Verifiable Rewards, Docker, Pytest, CI/CD, enabling them to deliver exceptional results for startups and enterprises alike. With time zones ranging from UTC-3 to UTC-5, LATAM talent provides real-time collaboration with US teams—critical for agile development and rapid iteration. Companies partnering with Hireslink achieve 60% cost savings compared to US hiring while maintaining 98% match accuracy and 95%+ retention rates. Our vetted rl environment engineers combine technical excellence with B2+ English proficiency and strong cultural alignment with North American business practices. ## How Hireslink Matches You with RL Environment Engineers Experts Our AI-powered recruiting platform uses advanced algorithms to match your specific requirements with the perfect rl environment engineers candidates. Every professional in our network undergoes a rigorous 3-stage vetting process: - **Technical Assessment:** Comprehensive evaluation of RL Environments, Verifiable Rewards, Docker skills and hands-on coding challenges - **System Design & Architecture:** Real-world problem-solving scenarios to assess scalability thinking and best practices - **English Proficiency & Culture Fit:** B2+ level verification and alignment with remote work best practices Result: 48-hour shortlists with 3-5 perfectly matched candidates, 95%+ retention rate, and seamless team integration. ## Common Use Cases for RL Environment Engineers from LATAM ### GPT/Claude Fine-Tuning Custom model training with RLHF and SFT ### Prompt Engineering Optimizing LLM outputs for specific use cases ### Data Annotation at Scale 10K+ annotators for training data preparation ### Project Implementation End-to-end delivery with modern tech stacks ### Team Augmentation Scale your existing teams with specialized talent ### Technical Leadership Senior-level expertise for complex challenges ## What does a RL Environment Engineers LLM Specialists do? Build containerized task environments and verifiable reward functions for agent training #### RL Environment Engineer Full-Time • Remote Docker, Pytest, Verifiable Rewards $36/hour #### Agent Evaluation Engineer Full-Time • Remote Task Design, Scoring Harness, CI $41/hour #### Senior Environments Lead Contract • Remote Determinism, Reward Hacking Review $46/hour ### Key Responsibilities - Build containerized task environments with deterministic setup - Write verifiable reward functions and scoring harnesses - Author reference solutions and difficulty grading - Validate that every submitted environment reproduces and is solvable - Prevent reward hacking in test-suite-scored tasks ## Why Build RL Environments with LATAM Engineers? Reinforcement learning environments are software engineering, not annotation. Building a containerized task with deterministic setup, a verifiable rew... ### Read Full Analysis Reinforcement learning environments are software engineering, not annotation. Building a containerized task with deterministic setup, a verifiable reward function and a reference solution requires engineers who can read a codebase and reason about failure. LATAM has a deep pool of senior backend and infrastructure engineers who already work with Docker, CI, test harnesses and cloud sandboxes — the exact stack environment work depends on. Same-timezone collaboration matters because environment specs change as the agent gets better. Because the work is verifiable, quality is measurable: an environment either reproduces deterministically and scores correctly, or it does not. That makes it one of the easiest AI data programs to run with a distributed nearshore team. ### Anonymized: AI lab training a software engineering agent The team could write environments faster than they could validate them, and non-deterministic setups... ### View Full Case Study #### The Challenge The team could write environments faster than they could validate them, and non-deterministic setups were poisoning training signal. #### The Solution A pod of senior engineers built containerized environments with pinned dependencies, deterministic seeds, verifiable reward functions and reference solutions, plus a validation harness that rejected any non-reproducible task. #### The Results - Task suite expanded with deterministic reproduction on 100% of accepted tasks - Difficulty grading applied so evaluation could separate capability levels - Reference solutions written for every environment - Validation harness caught non-determinism before tasks entered training - Pod ramped with full overlap on US working hours ### Technical Interview Guide for RL Environment Engineers Use these questions to evaluate candidates during your interviews. ### View Interview Questions #### Technical Questions - • How do you make a task environment deterministic when it depends on network calls and package installs? - • Design a verifiable reward function for a multi-file refactoring task. - • How do you prevent reward hacking in an environment scored by test suites? - • What is your process for grading task difficulty in a consistent way? - • How would you validate that a submitted environment is actually solvable? #### Cultural Fit Questions - • Describe a time you rejected your own work because it did not meet a quality bar. - • How do you handle a spec that changes weekly as the agent improves? - • How do you document an environment so another engineer can extend it? - • What do you do when a reference solution and the reward function disagree? ### Market Insights: RL Environment Demand in 2026 Current market trends and demand factors for this role. ### View Market Analysis #### Current Trends - Environments-as-a-service emerging as a distinct AI data category - Verifiable rewards preferred over human preference for agentic tasks - Difficulty-graded suites used for both training and evaluation - Determinism treated as a hard acceptance criterion #### Demand Factors - Agent products moving from demos to production workflows - Labs needing far more tasks than internal teams can author - Reward hacking incidents raising the bar on environment design - Engineering-grade work commanding engineering-grade rates Your Hiring Journey ## From Search to Hire in Days, Not Months We've automated and optimized every step of the hiring process so you can focus on building your product. STEP 01 Pre-built & Ready ### 90K+ Candidate Network Access our curated database of senior LATAM professionals. Every candidate is pre-screened for English (B2+), technical skills, and remote work readiness. No sourcing delays 1 2 STEP 02 90,000 → 500 Candidates ### AI Screening (Stage 1) Our AI analyzes your requirements and screens our 90,000+ candidate network against tech stack, timezone, experience, and culture fit. Only 500 pass to the next stage. Automated precision STEP 03 Only 3% Pass ### Human Expert Review (Stage 2) Senior recruiters conduct live interviews verifying bilingual communication (English/Spanish), technical depth, and culture fit. Only the top 3% make it to your shortlist. Bilingual verified 3 4 STEP 04 Ready to Interview ### 48h Shortlist Receive 3-5 AI & human vetted profiles with video intros, code samples, and detailed assessments. Schedule interviews directly with top candidates. Decision-ready profiles STEP 05 End-to-End Support ### Offer Management We handle salary negotiations, contract setup, and compliance. You focus on evaluating fit—we handle the paperwork and logistics. Zero admin burden 5 6 STEP 06 2-Week Trial ### Risk-Free Start Start with a paid trial period. If the hire doesn't work out, we replace them at no cost. 95% of our placements convert to long-term hires. No risk guarantee Only 3% of Candidates Pass AI Screening + Human Expert Review = Top 3% Bilingual Talent 90K+ AI-Screened Pool Top 3% Human Verified 100% Bilingual (EN/ES) 48h To Your Shortlist Start Hiring RL Environment Engineers ## Skills & Requirements 4+ years software engineering, ideally backend or infrastructure Strong Docker, dependency pinning and CI experience Testing discipline and comfort with test-based scoring Interest in agent evaluation and RL training loops Ability to document environments for other engineers ## Typical Salary Range $32-48/hr Competitive rates for LATAM RL Environment Engineers LLM Specialists talent Calculate Your Savings ## Frequently Asked Questions ### What is an RL environment in the context of LLM agents? A containerized, reproducible task with a defined initial state, an action interface and a verifiable reward function — so an agent's attempt can be scored automatically instead of by a human. ### Why is determinism the hard part? Non-deterministic setups (unpinned packages, live network calls, random seeds) poison the training signal. We reject any environment that doesn't reproduce identically across runs. ### What does an RL environment engineer cost from LATAM? $32-48/hr. US equivalents are senior software engineers at $100-180/hr, so teams typically save 55-70% while keeping same-timezone collaboration. ### How do you prevent reward hacking? Hidden tests alongside visible ones, reward functions that check behavior rather than artifacts, and adversarial review of each environment by a second engineer. ### Do they write reference solutions? Yes — every accepted environment ships with a reference solution and a difficulty grade so the suite works for both training and evaluation. ### Can they extend an existing harness? Yes. Most engagements start inside your harness; we only build tooling when you don't have one. ### How fast can an environments pod ramp? 48-hour shortlist and 8-12 days to first accepted environments, since these are senior engineering hires with a technical assessment stage. ### How is quality measured? Deterministic reproduction on 100% of accepted tasks, reference solution passing, and second-engineer review — quality here is verifiable rather than subjective. ## 📚 Related Articles Explore insights on hiring strategies, market trends, and best practices for building remote teams [ ![Cost to Hire a Remote Payroll Specialist \[2026\]](https://ajrfrtiexzvxvomfrjnp.supabase.co/storage/v1/object/public/blog-images/2026/09/1789415200384-cost-to-hire-a-remote-payroll-specialist-2026.png) Cost to ### Cost to Hire a Remote Payroll Specialist \[2026\] A 40-person company running simple Gusto payroll probably does not need a Payroll Manager. 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Sep 18, 2026 20 min read Read Article ](/blog/best-places-hire-remote-payroll-specialists)[ ![10 Best Places to Hire Remote AP/AR Specialists \[2026\]](https://ajrfrtiexzvxvomfrjnp.supabase.co/storage/v1/object/public/blog-images/2026/09/1789414352689-10-best-places-to-hire-remote-ap-ar-specialists-2026.png) Best (Comparisons ### 10 Best Places to Hire Remote AP/AR Specialists \[2026\] Accounts payable and accounts receivable look like routine back-office functions until they start falling behind. Then the problems show up everywhere. Sep 18, 2026 20 min read Read Article ](/blog/best-places-hire-remote-ap-ar-specialists) ## Related Hiring Solutions [Staff Augmentation ](/services/staff-augmentation)[Headhunting Pro ](/services/headhunting-pro) ## RL Environment Engineers: US vs LATAM Salary Comparison Metric 🇺🇸 US Rate 🌎 LATAM Rate Savings Hourly Rate $70–$110/hr $32–$48/hr 55% Annual (Full-Time) $146K–$229K $67K–$100K 55% 5-Person Team (Annual) $728K–$1144K $333K–$499K $395K+ saved Rates based on 2026 market data. LATAM rates include Hireslink's full-service model (payroll, HR, equipment). ## Related LLM Specialists Roles [ RLHF $26-36/hr ](/candidates/llm-specialists/rlhf)[ SFT $23-33/hr ](/candidates/llm-specialists/sft)[ Prompt Engineering $22-32/hr ](/candidates/llm-specialists/prompt-engineering)[ Data Annotation $17-27/hr ](/candidates/llm-specialists/data-annotation)[ Model Evaluation $21-29/hr ](/candidates/llm-specialists/model-evaluation) ## Explore More LATAM Talent Discover other specialized roles and build your complete remote team across Latin America [AI Specialists](/candidates/ai-specialists)[Full-Stack Developers](/candidates/developers/full-stack)[LLM Specialists](/candidates/llm-specialists)[Backend Engineers](/candidates/developers/backend)[UI/UX Designers](/candidates/design/ui-visual)[SDR & Sales Teams](/candidates/sales/sdr-bdr)[Growth Marketers](/candidates/marketing/growth)[Startup Talent](/industries/startups) ## Related Services & Talent Explore other ways HiresLink helps US startups scale with nearshore talent. [ ### Hire LATAM Software Engineers Bilingual senior engineers in US timezones, vetted in 48h. ](/hire/latam-software-engineers)[ ### Hire AI Automation Specialists n8n, Make, Zapier and OpenAI builders from $25/hr. ](/hire/ai-automation-specialists)[ ### Hire AI Implementation Specialists Rollout, integrations & adoption from $30/hr. ](/hire/ai-implementation-specialists)[ ### Hire LLM Developers RAG, fine-tuning and Generative AI talent from LATAM. ](/hire/llm-developers)[ ### Staff Augmentation Add vetted LATAM engineers to your team in 1–2 weeks. ](/services/staff-augmentation) Three ways to work with us ## Choose how you want to hire. Same network, same vetting bar. The difference is who employs the person and who runs the HR layer. ### Staffing & HR Management For companies building a team. HiresLink manages the hiring and HR/operational layer month to month. - Qualified candidates in 48 hours after the role brief - Unlimited free replacements for active staffing clients - Onboarding, payroll coordination, vacations and performance support - Lower of $800/month or a 25% management fee - $500 kickoff, credited to your first invoice [Build My Team](/services/hires-staffing) ### Headhunting / Direct Hire For companies making one specific key hire. You employ the person directly. One-time fee, no recurring management fee. - Qualified candidates in 48 hours after the role brief - 20% of first-year salary - $600 kickoff, credited to your first placement invoice - 90-day replacement (junior / semi-senior), 120 days (senior & managerial) - Sourcing, vetting and interview coordination [Find My Hire](/services/headhunting-pro) ### Staff Augmentation For companies adding capacity to an existing team. Vetted LATAM specialists plug into the team and processes you already run. - Add engineers and specialists to your existing team - You direct the day-to-day work - Scale the team up or down as the roadmap changes - Open salary benchmarks before you commit [Add LATAM Talent](/services/staff-augmentation) ## Your Next RL Environment Engineers is Already in Our Pool 90K+ candidate network. 48-hour shortlists. Unlimited staffing replacements. We interview, negotiate, and onboard. You just pick the best fit. Start Hiring NowCalculate Your Savings ### AI Staffing Insights Weekly trends on AI hiring and LATAM tech talent. ![Hireslink](https://ajrfrtiexzvxvomfrjnp.supabase.co/storage/v1/object/public/Images/Logos/hireslink_logo.jpeg)Hireslink AI-powered staffing connecting you with the top 3% of pre-vetted LATAM talent. 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All rights reserved. [Explore Talent Marketplace →](https://new.hireslink.com/) ## Explore the human data for LLMs cluster Every AI training data service we staff from Latin America — RLHF, supervised fine-tuning, data collection, red teaming, evaluation, multilingual data, agentic traces and domain expert networks — plus the roles and salary benchmarks behind them. [ ### RLHF & Preference Optimization Pairwise comparisons, rankings and critique loops that turn human judgement into reward-model training data for PPO and DPO pipelines. $26–36/hr · Inter-annotator agreement κ ≥ 0.80 ](/candidates/llm-specialists/rlhf)[ ### Supervised Fine-Tuning (SFT) Data Instruction-response pair creation, taxonomy tagging and rubric execution for domain-specific fine-tuning in English, Spanish and Portuguese. $23–33/hr · Label accuracy ≥ 95% on golden sets ](/candidates/llm-specialists/sft)[ ### Data Collection & Creation Net-new human-generated data: prompts, long-form writing, speech recordings, screen and device capture, and scenario scripting for edge cases your logs never contain. $18–28/hr · Spec compliance ≥ 97% at acceptance sampling ](/candidates/llm-specialists/data-collection)[ ### Model Safety & Red Teaming Adversarial testing of deployed and pre-release models: jailbreaks, prompt injection, harmful content probing and agentic misuse scenarios. $28–40/hr · Attack coverage across 12+ harm categories ](/candidates/llm-specialists/red-teaming)[ ### Model Evaluation & Benchmarking Human evals, LLM-as-judge calibration, golden datasets and regression suites so every prompt or model change is measured instead of guessed. $25–35/hr · Judge-human correlation tracked per release ](/candidates/llm-specialists/model-evaluation)[ ### Multilingual & Localization Data Native Spanish, Portuguese and English data creation, translation review, and locale-aware safety labeling for models serving the Americas. $20–30/hr · Native reviewer sign-off on 100% of batches ](/candidates/llm-specialists/multilingual-data)[ ### Code & Agentic Traces SWE-bench style task annotation, tool-calling traces, UI intents and agent trajectories labeled by engineers who read and run the code. $30–45/hr · Functional correctness verified by test runs ](/candidates/developers/llm)[ ### Multimodal Annotation Vision, audio and video labeling: bounding boxes, segmentation, transcription, diarization and cross-modal alignment checks. $18–30/hr · Annotation precision audited on blind golden sets ](/candidates/ai-specialists/computer-vision)[ ### Robotics & Teleoperation Data Managed teleoperation sessions, manipulation trajectories and force/torque traces for training and evaluating real-world robot policies. $28–42/hr · Deterministic replay checks on every episode ](/human-data-llm-training#physical-ai-stack)[ ### Egocentric Video & World Model Data First-person capture with depth, segmentation, hand pose and action boundaries — the interaction video world models and VLA systems cannot scrape. $20–30/hr · Annotation agreement κ ≥ 0.80 on action boundaries ](/human-data-llm-training#physical-ai)[ ### Domain Expert Networks Licensed and credentialed professionals — clinicians, lawyers, accountants, engineers — writing and reviewing data where a generalist annotator cannot. $35–70/hr · Credential verification on every expert ](/candidates/llm-specialists/domain-experts) ### Related pages - [Human Data for LLMs — LATAM teams](/human-data-llm-training) - [Hire LLM specialists](/candidates/llm-specialists) - [Physical AI training data (robotics, teleoperation)](/human-data-llm-training#physical-ai) - [Hire AI specialists](/candidates/ai-specialists) - [Hire LLM stack developers](/candidates/developers/llm) - [Hire machine learning engineers](/candidates/ai-specialists/machine-learning) - [Hire computer vision engineers](/candidates/ai-specialists/computer-vision) - [Staff augmentation](/services/staff-augmentation) - [AI / ML engineer salaries in LATAM](/latam-salaries/ai-ml-engineer/argentina) - [Data engineer salaries in LATAM](/latam-salaries/data-engineer/argentina) - [AI startups & SaaS hiring](/industries/saas) - [Nearshore teams for startups](/industries/startups)