Marketing & Commercial Strategy Specialist

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people start and grow careers teaching AI by making specialized AI training work easier to track, apply for, and build into a durable freelance career.

• Create a unified AI training portfolio visible to hiring teams across projects.
• Find remote, flexible work that fits around studies, a job, or family responsibilities.

About AI training and this project

AI training is the human side of building intelligent systems: people prepare, evaluate, and refine examples that teach models how to behave. This project focuses on using domain expertise in marketing and commercial strategy to train and evaluate AI-powered business tools that read, assess, and summarize commercial documents.

You will help shape how business-focused AI systems judge marketing decks, campaign reports, dashboards, and commercial plans by reviewing documents, creating rubrics, and providing high-quality feedback.

• Work directly on document review and evaluation tasks that influence model behavior.
• Contribute to high-impact training data used by AI tools for marketing and commercial decisions.

The role

OpenTrain is recruiting a Marketing & Commercial Strategy Specialist (contractor) to support an AI training project run for OpenTrain. This part-time, remote role is ideal for candidates with experience in marketing strategy, product marketing, growth, commercial strategy, sales operations, or market research.

You will review business documents, develop evaluation rubrics, analyze customer and market insights, and produce concise, visually clear recommendations and presentations that guide model training and real-world business decisions.

• Position type: Contractor, part-time (20+ hours/week).
• Work location: Remote, open worldwide; primary language: English.

What you'll do

Your day-to-day work is document-focused: you will read marketing decks, campaign reports, commercial plans, and analytics dashboards, then rate, annotate, and provide actionable feedback according to project rubrics. You will also create or refine evaluation frameworks so AI can learn consistent judgments.

• Review marketing and sales strategy decks, campaign performance reports, and commercial planning materials.
• Create detailed rubrics and qualitative feedback frameworks to assess business content.
• Analyze market research and customer insights to identify trends and growth opportunities.
• Draft concise, visually rich presentations and summaries communicating findings.
• Review and refine dashboards, metrics, and analytical reports for business relevance.
• Contribute domain expertise to train and evaluate AI-powered business tools.

Requirements

Candidates must meet the core skills and experience listed below. The project values clear written and verbal communication, analytical thinking, and comfort working with business documents and dashboard outputs.

• Background in marketing strategy, commercial strategy, product marketing, growth management, sales operations, or market research.
• Strong analytical and critical thinking skills and experience with campaign/performance data.
• Excellent written and verbal communication; ability to craft concise, visually engaging content.
• Familiarity with rubric creation, qualitative feedback frameworks, or structured evaluation methods.
• Proficiency with marketing, analytics, or business intelligence tools such as Excel or Tableau.

Helpful backgrounds

While the role is entry-level in the AI training space, relevant professional titles that map well to this work include the items below. Prior experience producing sales or marketing decks, business cases, or research summaries will be especially useful.

• Marketing Manager
• Growth Manager
• Product Marketing Manager
• Sales Operations Manager
• Commercial Strategy Manager
• Market Research Analyst

Pay, schedule, and project details

This is a contract, part-time role expected to be 20+ hours per week and is open worldwide. Payment is hourly at $50–$60 USD per hour, paid per project terms. Work is document-based (labelTypes: evaluation_rating, data_collection) and uses a third-party labeling platform (listed as OTHER).

• Hourly rate: $50–$60 USD per hour (PAY_PER_HOUR).
• Weekly time: 20+ hours; flexible scheduling within project timelines.
• Data type: Document review and evaluation.