Meridial (Invisible)Paid studies
Pavement Condition Index (PCI) Survey & Annotation Specialist – Freelance AI Trainer Project
up to $20/hr
About this role, in Meridial (Invisible)'s words
Are you a pavement professional or roadway inspector with hands-on experience conducting or interpreting Pavement Condition Index (PCI) surveys? Advanced AI systems are being developed to understand roadway conditions, interpret inspection imagery, and support infrastructure maintenance planning. High-quality training data based on real PCI survey practices is essential to ensure these systems accurately recognize pavement distress and condition ratings. This project relies on your expertise to help train and evaluate next-generation AI models.
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Meridial (Invisible)'s words
Posted by Meridial (Invisible), reproduced here so you can judge the role before clicking. Original posting ↗
Are you a pavement professional or roadway inspector with hands-on experience conducting or interpreting Pavement Condition Index (PCI) surveys? Advanced AI systems are being developed to understand roadway conditions, interpret inspection imagery, and support infrastructure maintenance planning. High-quality training data based on real PCI survey practices is essential to ensure these systems accurately recognize pavement distress and condition ratings. This project relies on your expertise to help train and evaluate next-generation AI models.
In this project, you will focus specifically on PCI-related workflows and annotation tasks. You will review roadway images, inspection records, and AI-generated outputs to determine whether pavement distress types, severity levels, and condition assessments are accurate and consistent with PCI methodology. A central part of the work involves annotating or validating pavement features and distress patterns so models can better learn to identify cracking, rutting, spalling, patching, weathering, and other common pavement conditions.
On a typical day, you may analyze roadway imagery or survey excerpts, validate AI-generated classifications of pavement distress, and provide written feedback explaining where models misidentify features or misinterpret severity levels. You may also help clarify how inspectors distinguish between similar distress categories, how sampling units are evaluated, and how real-world field conditions influence PCI scoring and reporting.
This project is well suited for pavement engineers, civil or transportation engineers, DOT specialists, highway inspectors, and other professionals who have conducted or reviewed PCI surveys or pavement condition assessments. Experience working with inspection imagery, condition reports, or roadway maintenance planning is highly valuable. Clear written communication and the ability to explain inspection reasoning and classification decisions in a structured way are essential.
No prior AI or technical background is required. Training and project guidelines will be provided. What matters most is your familiarity with PCI surveys, attention to visual detail, and ability to consistently apply pavement distress definitions and rating criteria.
We offer a pay range of $6 - $20 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor, you will supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.
Job title: Pavement Condition Index (PCI) Survey & Annotation Specialist – Freelance AI Trainer Project Employment type: Freelance / Contract Workplace type: Remote
Working with Meridial (Invisible)Pay, getting started and work, from Meridial (Invisible)'s own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Earnings are processed every two weeks. Meridial says all time on projects is paid, with no platform cut. meridial.ai/faq, meridial.ai/become-an-expert
- Before your first paid task
- A profile, a brief confirmation step, then a signed Statement of Work once you are matched. Its postings say the exact rate is set after it evaluates your experience, expertise and location. meridial.ai/faq, job-boards.greenhouse.io/agency/jobs/4784908101
- How much work
- No guarantee of immediate work: Meridial reaches out when a project needs your domain, and your profile stays active until then. meridial.ai/faq
- Contract
- Independent contractor, not an employee of Meridial or Invisible Technologies. meridial.ai/faq
Read on the pages linked above on 23 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
How does the pay compare?Across Paid studies roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from Meridial (Invisible)'s posting. How we count.
Pay across the field: Paid studies
Across 6 roles in this field with a stated hourly rate in US dollars, on 4 platforms, the middle half pays $60 to $100 an hour at the top of the range, and the median is $100. This role's top rate, $20, is in the bottom quarter. Of the 6 distinct rates we count, 0 are lower and 6 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Mercor | 3 | $60 to $110 |
| Terac | 1 | $100 |
| Alignerr | 1 | $80 |
| Handshake AI | 1 | $40 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 19 Aug 2026, and still on Meridial (Invisible)'s list when we last read it on 13 Oct 2026.
- Posted by Meridial (Invisible)
- First seen by AIPayList
- Last seen live
- Listing ID
- 4781818101
Pay as the source states it: “pay range of $6 - $20 per hour”.
Meridial (Invisible) posts this role once per country: 8 listings with the same title and pay. This page shows one of them. The full country list is on the main listing.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
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