Trusted by Leading AI Companies • ≤72h Time-to-Ramp • κ ≥ 0.80 Agreement • 0.0% Leakage

    Human-Generated Data Staffing for LLM Training — Build RLHF/SFT Pods Fast

    Hire vetted LatAm annotators for RLHF, SFT, code labeling, and multimodal tasks. Measurable QA (Cohen's Kappa ≥ 0.80), rapid ramp (≤72h), and full HR/compliance handled by HiresLink. Scale from pilot to production with zero data leakage.

    ≤72h shortlists
    Fully compliant
    Culture-first matches

    Why AI Companies Choose HiresLink for Human Data

    Time-to-ramp

    Recruit, vet, and onboard annotators in ≤72 hours.

    ≤72h

    Throughput Multiplier

    4.7× faster output vs. generic crowdsourcing platforms.

    4.7× faster

    Agreement Quality

    Cohen's Kappa ≥ 0.80 with contract-level guarantees.

    κ ≥ 0.80

    Revision Reduction

    −48% average handle time with dual review and QA gates.

    −48% AHT

    Zero Leakage

    0.0% data leakage on golden sets with SOC-style controls.

    0.0% leakage
    55%
    Cost Savings
    ≤72h
    Time to Shortlist
    98%
    90-day Retention
    Strategic Partnership

    Why ML Leaders Choose HiresLink for LLM Training Data

    We are your strategic partner in Latin America, building high-performance teams that scale with your vision

    Contract-Level QA

    We commit to measurable agreement targets (Cohen's Kappa ≥ 0.80) with clawbacks if we fall short. Your data quality is our responsibility, backed by SLAs.

    Full People-Ops

    Payroll, compliance, PTO, training, and free replacements—all included. You focus on model architecture; we handle the human workforce.

    Infra-Agnostic

    Works with Hugging Face, PyTorch, Label Studio, Scale AI, or your custom annotation tools. We adapt to your ML pipeline, not the other way around.

    LatAm Advantage

    US time-zone overlap, English-fluent, tri-lingual squads (EN/ES/PT) at competitive rates. Cultural alignment + technical depth.

    Ready to build your LATAM advantage?

    End-to-End Human Data Services for LLMs

    Comprehensive solutions designed specifically for your industry needs

    Our Platform

    Advanced tools for seamless collaboration

    Annotation quality dashboard
    Human data operations platform
    LLM training data pipeline

    Ready to get started?

    Critical Roles We Staff for LLM Training

    RLHF Annotators

    Preference ranking, pairwise comparison, reward model data generation

    Stack:

    Ranking UIPreference ModelsSafety GuidelinesBilingual (EN/ES)
    Mid to Senior

    SFT Specialists

    Instruction-response pairs, taxonomy tagging, rubric execution

    Stack:

    Label StudioAnnotation ToolsQuality RubricsDomain Expertise
    Mid to Senior

    Code Annotators

    SWE-bench evals, UI intents, function calling, toolformer traces

    Stack:

    Python/JSGitHubTest FrameworksCode Review
    Senior

    Multimodal Experts

    Audio/vision labeling, speech analysis, safety red-teaming

    Stack:

    Vision ToolsAudio SoftwareSafety ProtocolsCross-modal
    Mid to Senior

    From Pilot to Production—Our Human Data Playbook

    1

    Recruit & Vet(≤72 hours)

    We source bilingual annotators and subject-matter experts (EN/ES/PT) from our vetted LatAm network and screen them within 72 hours.

    2

    Playbooks & Onboarding(3-5 days)

    Build custom annotation rubrics, golden test sets, leakage controls, and calibration workflows tailored to your LLM task.

    3

    Scale & Manage(1-2 weeks)

    Ramp from pilot (10 annotators) to production (400+) with US time-zone coverage, sprint cadences, and agile iteration.

    4

    Quality & Security(Continuous)

    Maintain Cohen's Kappa ≥ 0.80, dual review on critical tasks, spot audits, and SOC-style security controls with zero data leakage.

    5

    Iterate & Optimize(Ongoing)

    Weekly QA reports, A/B test rubric changes, refresh golden sets, and optimize cost per labeled unit while maintaining quality targets.

    Human data annotation team collaboration
    RLHF and SFT specialists
    Multimodal annotation workforce

    The Proven Solution for World-Class Businesses

    What Our Clients Say

    Real results from companies using AI-powered hiring

    "Hireslink's AI matching increased our team efficiency by 60%. The personality filtering helped us find developers who truly fit our culture."
    SC

    Sarah Chen

    CTO, TechFlow

    "We hired 5 developers in 2 weeks instead of 3 months. The AI predictions were spot-on for both technical skills and work style."
    MR

    Marcus Rodriguez

    VP Engineering, DataCorp

    "The quality of Latin American talent is exceptional. AI matching helped us build a diverse, high-performing remote team."
    JK

    Jennifer Kim

    Head of Product, InnovateLabs

    "98% match accuracy isn't just a number - it's the difference between hiring success and costly mistakes. Hireslink delivers."
    DT

    David Thompson

    CEO, ScaleUp

    Ready to Transform Your Hiring?

    Join 200+ companies saving 55% on talent costs. Get matched with perfect candidates in ≤72h.

    No Setup Fees
    ≤72h Guarantee
    Cancel Anytime

    Production-Grade Quality Metrics

    Real KPIs from our human-data operations—measured, reported, and guaranteed

    Time-to-ramp≤72h
    Throughput/hr4.7×
    Agreementκ ≥ 0.80
    Revision rate−48%
    Cost per labeled unit

    Ready to achieve these metrics?

    Compare Human-Data Providers

    See how HiresLink stacks up against other RLHF/SFT staffing options for enterprise LLM training

    FeatureHiresLinkGeneric CrowdsourcingTraditional Staffing
    Specialized in LLM Human Data (RLHF/SFT/Annotation)
    Contract-Level QA Guarantees (Cohen's Kappa ≥ 0.80)
    Zero Data Leakage on Golden Sets
    Rapid Ramp (10→400+ annotators in weeks)
    Full HR + Payroll + Compliance
    Multimodal Expertise (Audio/Vision/Code)
    US Time-Zone Coverage
    Infra-Agnostic (HuggingFace, Label Studio, Custom)

    Specialized in LLM Human Data (RLHF/SFT/Annotation)

    HiresLinkYes
    Generic CrowdsourcingNo
    Traditional StaffingNo

    Contract-Level QA Guarantees (Cohen's Kappa ≥ 0.80)

    HiresLinkYes
    Generic CrowdsourcingNo
    Traditional StaffingPartial

    Zero Data Leakage on Golden Sets

    HiresLinkYes
    Generic CrowdsourcingNo
    Traditional StaffingPartial

    Rapid Ramp (10→400+ annotators in weeks)

    HiresLinkYes
    Generic CrowdsourcingPartial
    Traditional StaffingNo

    Full HR + Payroll + Compliance

    HiresLinkYes
    Generic CrowdsourcingNo
    Traditional StaffingYes

    Multimodal Expertise (Audio/Vision/Code)

    HiresLinkYes
    Generic CrowdsourcingPartial
    Traditional StaffingNo

    US Time-Zone Coverage

    HiresLinkYes
    Generic CrowdsourcingPartial
    Traditional StaffingYes

    Infra-Agnostic (HuggingFace, Label Studio, Custom)

    HiresLinkYes
    Generic CrowdsourcingNo
    Traditional StaffingNo

    Comparison based on typical market offerings. Features may vary by provider.

    See the difference for yourself

    Deep Dive: LLM Training Best Practices

    Learn how to design production-grade human-data operations for enterprise AI

    RLHF annotation workflow

    RLHF vs SFT

    Quality assurance dashboard

    QA Design

    Anonymized Client Results

    Real outcomes from AI companies building production LLMs with human-generated data

    Annotation team achieving 4.7x throughput
    4.7×

    Throughput Growth

    1,000 tasks in 8 days (code + UI annotation)

    −48%

    Average Handle Time Reduction

    +76% approval rate in multimodal annotation pipeline with dual review

    30→120

    RLHF Pods Scaled in 7 Days

    0.0% leakage on golden sets, κ = 0.83 maintained throughout ramp

    Want Results Like These?

    Join leading AI companies building production LLMs with measurable quality guarantees

    Frequently Asked Questions

    Everything you need to know about human-data staffing for LLM training

    Ready to Scale Your Human Data Operations?

    Recruit, train, and manage vetted LatAm annotation teams with measurable QA guarantees. Get started in ≤72 hours.

    ≤72h to first shortlist
    κ ≥ 0.80 QA guarantee
    Zero data leakage