No-Code Automation Specialist (Zapier/Make.com)

About OpenTrain

OpenTrain aggregates data-labeling and AI-training jobs from many companies and platforms into a single job board. Creating an OpenTrain account is free, and applying to listings takes only a few minutes.

About AI Training Work

AI training (also called data labeling, annotation, or human feedback) is the human work that teaches models how to behave. Tasks include crafting prompts, reviewing model outputs, annotating text, and evaluating reasoning — all of which directly shape model accuracy, safety, and usefulness.

The Role

You will work as a No-Code Automation Specialist building, testing, and refining workflow automations using platforms such as Zapier and Make.com. The role combines practical automation engineering with AI evaluation: you will generate prompts for AI about triggers, actions, multi-step workflows, filters, branching logic and integrations, then review and improve AI outputs for real-world business use.

• Subject matter: Workflow automation using Zapier and Make.com.
• Data type: Text-based tasks and annotations.
• Label/type focus: COMPUTER_PROGRAMMING_CODING style text labels; labeling software listed as OTHER.

What You'll Do

• Create, test, and optimize no-code automations (triggers, actions, filters, branching, multi-step flows).
• Design prompts and challenge AI on workflow logic, integrations, and data flow accuracy.
• Evaluate and annotate AI outputs, applying rubric-based QA and text annotation methods.
• Incorporate AI-powered steps or enrichments into automations when appropriate.
• Perform occasional no-code or low-code API integration work as needed.
• Document workflows clearly and translate business requirements into technical automation logic.

Requirements

This is a contract, part-time position requiring 20+ hours per week. Pay range: $15–$45 per hour (hourly maximum $45/hr). CV must be submitted in English and include your English proficiency level plus email address and phone number.

• 2+ years hands-on experience with Zapier and/or Make.com.
• Experience building end-to-end automations across business functions.
• Hands-on text annotation, evaluation, or rubric-based QA experience.
• Experience evaluating LLM outputs for legal reasoning quality.
• Experience with AI steps, enrichments, or LLM integrations is a plus.
• English writing proficiency at B2+ level.

Restricted Locations

Applicants are accepted worldwide except the following restricted locations for acquisition: Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar, Russia, Belarus, Palestine Switzerland China, Taiwan Kenya States of the USA: Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Hawaii, Illinois, Indiana, Kansas, Louisiana, Maine, Maryland, Massachusetts, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, Ohio, Oregon, Tennessee, Utah, Vermont, Washington, West Virginia Antarctica, Aruba, Åland Islands, Saint Barthélemy, Bonaire, Sint Eustatius and Saba, Bouvet Island, Cocos (Keeling) Islands, Democratic Republic of the Congo, Cook Islands, Christmas Island, Western Sahara, Falkland Islands (Malvinas), French Guiana, Guadeloupe, South Georgia and the South Sandwich Islands, Heard Island and McDonald Islands, British Indian Ocean Territory, Northern Mariana Islands, Martinique, New Caledonia, Norfolk Island, Niue, French Polynesia, Saint Pierre and Miquelon, Pitcairn, Réunion, Saint Helena, Ascension and Tristan da Cunha, Svalbard and Jan Mayen, Sint Maarten (Dutch part), French Southern Territories, Tokelau, United States Minor Outlying Islands, Holy See, Virgin Islands (British), Wallis and Futuna, Mayotte

Who Should Apply

Apply if you are an intermediate no-code automation specialist who enjoys translating business needs into reliable automations and can evaluate AI outputs critically. Ideal candidates are comfortable with both practical workflow design and structured text annotation or QA.

• You have 2+ years of hands-on Zapier and/or Make.com experience and a track record of end-to-end automations.
• You can document technical logic clearly and write at a B2+ English level.
• You have experience evaluating LLM outputs or working with rubric-based review processes.

How It Works / How To Apply

OpenTrain aggregates this listing; creating an OpenTrain account is free and applying takes only a few minutes. This role is offered as a contractor, part-time engagement with a minimum commitment of 20+ hours/week.

• Prepare a CV in English that states your English proficiency, and include email address and phone number.
• Your application should highlight 2+ years with Zapier and/or Make.com and examples of end-to-end automations.
• Compensation is paid hourly: $15–$45 per hour (maximum $45/hr).