Revenue Operations Task Author for AI Training

OpenTrain AI; Australia; Hybrid; AUD 28,000 - 69,000; Part time

Benefits offered by this job

Remote work

Flexible scheduling

Australia-based

Job summary

OpenTrain AI in Australia is seeking a Revenue Operations Task Author to design and calibrate realistic enterprise work problems that train and evaluate advanced AI agents.

You will author prompts, craft scoring rubrics, validate tasks, and ensure they are challenging yet objectively gradable. This is a fully remote, flexible contract for Australia‑based candidates, with 20+ hours per week and English‑language work.

Qualifications

• Hands-on revenue operations or sales operations experience at an enterprise company.
• Deep familiarity with CRM systems such as Salesforce.
• Ability to query and interpret account and bookings data.
• Strong understanding of bookings, fulfillment pipelines, and revenue recognition concepts.
• Ability to define precise, verifiable correctness criteria.
• An iterative mindset and willingness to test, refine, and retest tasks.
• Comfort using business communication tools and dashboards in multi-system workflows.

Responsibilities

• Turn revenue operations workflows into AI training and evaluation tasks.
• Author prompts based on bookings reconciliation, account discrepancies, fulfillment status, and recognized revenue.
• Write scoring rubrics that specify exactly what a correct answer looks like and how it should be evaluated.
• Set up task environments that recreate realistic work situations using business systems a human employee would use.
• Test tasks against AI models and adjust complexity, ambiguity, or required steps until the task reliably challenges the model.
• Review and correct AI-drafted task prompts or rubrics when they are provided.

Skills

Revenue operations

Sales operations

Salesforce

Data interpretation

Tools

Salesforce CRM

Job description

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. It helps people discover projects, create a professional profile, and apply to opportunities that turn practical expertise into work shaping how AI is built.

Creating an OpenTrain account is free, and candidates can build their profile and apply in minutes. OpenTrain AI is the hiring and contracting organization for this role.

About AI Training Work

AI training is the human side of developing modern artificial intelligence. Specialists prepare realistic examples, write evaluation criteria, and review model behavior so AI systems can perform useful work more accurately and reliably.

In this role, your revenue operations knowledge will help create challenging business scenarios for AI agents. The work combines task authoring, structured evaluation, and iterative testing in a growing field that supports flexible remote careers.

• Remote work with flexible scheduling
• Directly contribute to the development of advanced AI agents
• Apply practical business expertise to realistic evaluation tasks

The Role

OpenTrain is recruiting a Revenue Operations Task Author to design and calibrate realistic enterprise work problems that train and evaluate advanced AI agents. You will author task prompts, write scoring rubrics, and validate tasks so they are challenging while remaining objectively gradable.

This is a fully remote, flexible contract role for candidates in Australia. The listing is marked entry level, but the work requires hands‑on experience in revenue operations, sales operations, or a closely related function at an industrial or enterprise company.

• Contractor and part‑time engagement
• 20+ hours per week
• Australia‑based opportunity
• English‑language work
• Pay range of $20-$50 per hour

What You’ll Do

You will turn authentic revenue operations workflows into well‑defined AI training and evaluation tasks. Each task must place an AI agent in a realistic business situation, provide a sound way to assess its work, and be tested until its difficulty and grading criteria are reliable.

• Author prompts based on bookings reconciliation, account discrepancies, fulfillment status, and recognized revenue.
• Write scoring rubrics that specify exactly what a correct answer looks like and how it should be evaluated.
• Set up task environments that recreate realistic work situations using the business systems a human employee would use.
• Solve each task yourself to validate its soundness and confirm that the rubric is accurate.
• Test tasks against AI models and adjust complexity, ambiguity, or required steps until the task reliably challenges the model.
• Review and correct AI‑drafted task prompts or rubrics when they are provided.

Requirements

You should have practical experience in revenue operations, sales operations, or a closely related function within an industrial or enterprise company. The role requires confidence working with business systems, interpreting operational data, and translating professional judgment into precise evaluation standards.

• Hands‑on revenue operations or sales operations experience at an enterprise company
• Deep familiarity with CRM systems such as Salesforce
• Ability to query and interpret account and bookings data
• Strong understanding of bookings, fulfillment pipelines, and revenue recognition concepts
• Ability to define precise, verifiable correctness criteria
• An iterative mindset and willingness to test, refine, and retest tasks
• Comfort using business communication tools and dashboards in multi‑system workflows

Helpful Background

Candidates with experience training or evaluating AI tools in a sales or revenue context may be especially well suited to the work. A background in enterprise B2B environments with complex deal structures is also helpful.

The strongest applicants can describe how they would build a task that reliably challenges a capable AI agent while remaining clearly and objectively gradable. Familiarity with the everyday software and workflows of revenue operations is important.

• AI training or evaluation experience in a sales or revenue setting
• Enterprise B2B experience
• Experience with complex deal structures
• Ability to explain how professional workflows become reliable AI evaluation tasks