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3,050

Delivery jobs in Mexico

Learning & Development Manager, AI Business

Prolific

Estado de México
Hybrid
MXN 1,216,000 - 1,565,000
3 days ago
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Global Lending Operating Reporting Head

Citi

Ciudad de México
On-site
MXN 600,000 - 800,000
3 days ago
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Director, Business Transformation | Corporate Finance & Restructuring

FTI Consulting

Ciudad de México
On-site
MXN 400,000 - 600,000
3 days ago
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Marketplace & Pricing Senior Analyst

Didi

Ciudad de México
Hybrid
MXN 600,000 - 800,000
3 days ago
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Luxury Standards Specialist – Rooms Division

Solage

Cabo San Lucas
On-site
MXN 521,000 - 870,000
3 days ago
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Luxury Standards Specialist – Rooms Division

The Vanderbilt

Cabo San Lucas
On-site
MXN 1,043,000 - 1,391,000
3 days ago
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Scientist, Exosome Delivery & In Vitro Assay Development

Scorpion Therapeutics

Barrio San Diego Pueblo Nuevo
On-site
MXN 1,390,000 - 1,739,000
3 days ago
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DevSecOps Innovator: Secure Software Delivery

beBeeCybersecurity

Coahuila
On-site
MXN 1,043,000 - 1,391,000
3 days ago
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IT Infrastructure - Recien Egresado

SLB

Villahermosa
On-site
MXN 200,000 - 400,000
3 days ago
Be an early applicant

Consulting Manager - SAP HANA Organizational Change Management

Cognizant

Aguascalientes
Hybrid
MXN 1,390,000 - 1,913,000
3 days ago
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Global Sales Manager - Key Accounts & Business Development

InterContinental Hotels Group

Región Centro
Remote
MXN 200,000 - 400,000
3 days ago
Be an early applicant

Director, WCH Business Excellence

Scorpion Therapeutics

San Lorenzo Cacaotepec
Hybrid
MXN 600,000 - 800,000
3 days ago
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Luxury Standards Specialist – Rooms Division

Bowie House

Cabo San Lucas
On-site
MXN 50,000 - 70,000
3 days ago
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Safety & PV Coordinator hybrid CDM Mexico

Syneos Health, Inc.

Tlalnepantla
Hybrid
MXN 608,000 - 870,000
3 days ago
Be an early applicant

Luxury Standards Specialist – Rooms Division

The Lodge at Blue Sky

Cabo San Lucas
On-site
MXN 869,000 - 1,217,000
3 days ago
Be an early applicant

Product Manager, TuneLab Platform

Scorpion Therapeutics

San Francisco Caballúa
On-site
MXN 200,000 - 400,000
3 days ago
Be an early applicant

Ubuntu Linux Kernel Engineer - Silicon Enablement

Canonical

Hermosillo
Remote
MXN 200,000 - 400,000
3 days ago
Be an early applicant

Strategy Business Partner

DiDi Global

Región Centro
On-site
MXN 400,000 - 600,000
3 days ago
Be an early applicant

Customer Service Representative - In house

Charger Logistics Inc

San Luis Potosí
On-site
MXN 30,000 - 50,000
3 days ago
Be an early applicant

Sr. Manager Restaurant Strategy

DiDi Global

Ciudad de México
On-site
MXN 1,390,000 - 2,087,000
3 days ago
Be an early applicant

Investment Manager

DiDi Global

Ciudad de México
On-site
MXN 600,000 - 900,000
3 days ago
Be an early applicant

Tracking and QA Analyst

Launch Potato

Morelia
Remote
MXN 400,000 - 600,000
3 days ago
Be an early applicant

Junior Project Manager, Shared Services & Knowledge

PepsiCo

Ciudad de México
On-site
MXN 200,000 - 400,000
3 days ago
Be an early applicant

Software Platform Engineering Manager - Ubuntu for Next-Gen Silicon

Canonical

Culiacán
Remote
MXN 600,000 - 800,000
3 days ago
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Director, IT Business Solutions Partner – People, Legal, and Corporate Communications

Scorpion Therapeutics

San Francisco Caballúa
Hybrid
MXN 400,000 - 600,000
3 days ago
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Learning & Development Manager, AI Business
Prolific
Estado de México
Hybrid
MXN 1,216,000 - 1,565,000
Full time
3 days ago
Be an early applicant

Job summary

A leading AI innovation company is seeking a Learning & Development Manager to oversee the learning ecosystem for AI Services. You will design scalable training programs that enhance the effectiveness of global teams in delivering AI solutions. The ideal candidate will have 5-7 years of experience in Learning & Development, with strong instructional design skills and a collaborative approach. Enjoy a competitive salary, benefits, and flexible working in an impactful culture.

Benefits

Competitive salary
Hybrid working
Cash variable compensation

Qualifications

  • Experience creating scalable learning programs.
  • Proven ability to design complex assessment methods.
  • Strong collaborative skills across teams.

Responsibilities

  • Own the end-to-end learning ecosystem for AI Services.
  • Design onboarding and upskilling programs.
  • Define and track L&D metrics for continuous improvement.

Skills

Learning & Development
Instructional design
Data analysis
Collaboration
Communication

Education

Experience in tech or AI sectors
5-7+ years in L&D or related field
Job description
Overview

Learning and Development Manager, AI Business – Prolific

Prolific isn’t just enabling AI innovation – we’re redefining it. While foundational AI technologies are becoming commoditized, Prolific’s human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision.

The Role

As Learning & Development Manager, AI Business you will own the learning system that keeps our AI Services teams effective as task complexity, scale, and scrutiny increase. Prolific supports everything from data labelling and red-teaming to complex evaluations of model behaviour and AI safety—and this role ensures our people understand both the how and the why behind this critical work.

You will design scalable learning paths, assessments, and certification systems that shorten ramp time, improve quality and consistency, and keep our global delivery teams aligned with evolving client, research, and safety requirements.

What You’ll Be Doing
  • Own the end-to-end learning ecosystem for AI Services, defining curricula and learning paths across roles, levels, and workflows.
  • Design and scale onboarding, upskilling, and certification programmes that reduce time-to-proficiency and support consistent delivery across regions.
  • Translate quality data, error trends, policy updates, and client or researcher feedback into targeted training and rapid-response modules.
  • Design assessments and certifications that reflect real task complexity, including simulations, calibration exercises, and scenario-based evaluations.
  • Define and track L&D metrics such as ramp curves, post-training quality deltas, and recertification outcomes, using data to continuously improve impact.
  • Partner with Quality, Operations, Research, and AI Safety teams to ensure training reflects current standards, expectations, and escalation paths.
  • Ensure all training content aligns with Prolific’s commitments to participant welfare, research integrity, and responsible AI.
What You’ll Bring to the Role
  • 5–7+ years of experience in Learning & Development, Training, or Enablement, ideally within tech, AI, research operations, or trust and safety environments.
  • Proven experience building and scaling training programmes for large, distributed operational or service teams across multiple regions.
  • Strong instructional design skills for complex, high-judgement work, including policy-heavy, safety-critical, or research-grade workflows.
  • Comfort using operational and quality data to prioritise learning needs and measure training effectiveness.
  • Experience designing assessments that go beyond basic quizzes, such as work samples, simulations, and calibration-based evaluation.
  • A collaborative approach, with a track record of partnering with Operations, Quality, Product, and Research teams to drive measurable improvements.
  • Clear written and verbal communication skills, with the ability to translate complex requirements into practical, accessible training.
  • Even Better if you have:
  • Experience with AI/ML workflows, data labelling, trust and safety, research operations, or human evaluation of AI systems.
  • Familiarity with AI safety, ethics, or compliance frameworks.
  • Experience working in a high-growth, product-led environment.
Why Prolific is a great place to work

We’ve built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won’t come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and best of humanity.

Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research.

Join us to enjoy a competitive salary, benefits, and hybrid working within our impactful, mission-driven culture. At Prolific, our compensation packages for eligible roles include base salary, equity, and benefits. Many roles also include the opportunity to earn a cash variable element, such as a bonus or commission. Each job posting shows a salary range that reflects the minimum and maximum target for new hires, based on the role’s location as well as your skills, experience, and relevant education or training. Your recruiter will also be happy to share the specific salary range for your preferred location during the hiring process.

Links to More Information

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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