Marketing Analytics AI Training Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. It helps specialists discover opportunities, build a professional profile, and grow a durable career teaching and evaluating AI. Creating an OpenTrain account is free, and OpenTrain AI is the hiring and contracting organization for this role.

• Remote contract work available worldwide
• Build a credible portfolio of AI training and evaluation experience
• Apply and manage opportunities through OpenTrain

About AI Training Work

AI training is the human side of building modern artificial intelligence. Experts create realistic examples, review model outputs, and establish the standards AI systems must meet. In this role, your marketing analytics judgment will help test whether AI agents can reason through imperfect information and reach sound business conclusions.

• Contribute to cutting-edge AI evaluation work
• Use professional expertise to improve model behavior
• Work remotely with a flexible part-time schedule

The Role

OpenTrain is seeking a Marketing Analytics AI Training Expert to design and pressure-test high-fidelity simulated work environments for evaluating and improving AI agents. You will turn authentic marketing analytics practice into realistic briefs, artifacts, tool states, judgment calls, and evaluation standards.

This role combines practical marketing measurement expertise with careful assessment of whether an AI agent can reason from messy or conflicting information and arrive at a defensible business decision. The listed experience level is entry level, while hands-on ownership of marketing analytics work is required.

• Remote contract position
• Part-time engagement with a default commitment of about 20 hours per week
• Pay rate of $60 to $100 per hour
• English-language work
• Open to contributors worldwide

What You'll Do

You will create realistic marketing analytics scenarios and assess AI agent attempts against expert standards. Your work will cover both the design of the simulated environment and the written reasoning needed to explain why an agent response is strong, weak, plausible, or incorrect.

• Design task briefs based on real marketing analytics work
• Define the issue being tested and the decision a strong practitioner should reach
• Specify the documents, dashboards, personas, and tool states needed for realistic scenarios
• Write or review reference answers and evaluation criteria
• Evaluate AI agent attempts against expert standards
• Explain your reasoning clearly when rating agent responses
• Develop scenarios involving anomaly detection and channel-performance synthesis
• Cover cross-source reconciliation, attribution, and incrementality
• Create workflows involving reporting, prioritization, quality assurance, triage, escalation, research, and multi-step analysis

Required Skills and Experience

You should have hands-on practitioner experience in marketing analytics with direct ownership of analytical work. You must be fluent with Google Analytics 4, a product analytics platform such as Amplitude, a CRM such as Salesforce, and advertising platform reporting.

Strong written reasoning and sound judgment are essential. You should be able to diagnose messy or conflicting data, assess attribution and channel performance, and connect analysis to an actionable, defensible business decision.

• Hands-on marketing analytics experience with direct ownership of analytical work
• Fluency with Google Analytics 4
• Fluency with a product analytics platform such as Amplitude
• Fluency with a CRM such as Salesforce
• Fluency with advertising platform reporting
• Ability to reason clearly about messy or conflicting data
• Ability to evaluate AI agent responses against expert standards
• Ability to connect analysis to a defensible business decision

Helpful Background

Experience creating AI training environments, reinforcement-learning environments, or simulated case studies is helpful. Rubric Academy or Rubric Bootcamp certification is also helpful, but these are preferred rather than required qualifications.

• Experience building AI training environments
• Experience building reinforcement-learning environments
• Experience creating simulated case studies
• Rubric Academy certification
• Rubric Bootcamp certification

How the Contract Works

This is a remote, part-time contract role with a default commitment of about 20 hours per week. The compensation range is $60 to $100 per hour. Work is conducted in English and is available worldwide.

OpenTrain helps contributors build a unified profile and show credible experience across AI training and data-labeling work. Your work on this project can become part of a longer-term professional portfolio in a fast-growing field.

• Employment type: Contractor
• Schedule: 20+ hours per week
• Compensation: $60-$100 per hour
• Work arrangement: Remote
• Language: English
• Location: Worldwide