Quick facts
- Pay
- $1000 per task
- Type
- Part-time
- Location
- Global-Remote
- Hours
- 10+ hours / week
- Platform
- Micro1 — 280 open jobs
- Typical pay at Micro1
- $25–120/hour · median $90 (35 jobs on our site)
- Payout
- Deel (twice a month)
- Apply
- Free to apply — never pay to get AI training work
pay
Required Skills
Crop condition and loss assessment from field and aerial imagery
Auction and pre-sale vehicle
equipment condition grading
Return damage inspection
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.
Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.
Role Title: Senior Specialty Inspection Expert, Crop, Auction and Rental
Role Type: Contractor
Location: Global-Remote
Job Type: Contractor (~10 hours per week)
Schedule: Flexible-you choose the hours and days you work, including weekends if desired
micro1 is engaging Senior Specialty Inspection Experts, Crop, Auction and Rentals to support a customer's project in specialized inspection domains. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is designed for established professionals with deep inspection experience in crop condition and loss assessment, auction and pre-sale grading, and rental or lease return evaluations. You will analyze authentic inspection records, field or aerial photos, and documented imagery, producing assessments that reflect current industry best practices. Communication excellence, both written and verbal, is essential, as your insights will drive accurate training data for advanced technology platforms.
Scope of Work
Review field and aerial imagery, as well as inspection records, to assess crop conditions and determine loss in line with insurance protocols.
Evaluate vehicles and equipment for auction or pre-sale, assigning accurate condition grades using photographic evidence and inspection data.
Analyze rental or lease return inspection records, identifying damage and detailing findings in clear, expert-level reports.
Document and articulate the reasoning behind each grade or assessment, ensuring transparency and traceability of your conclusions.
Collaborate remotely with project coordinators to clarify requirements and address project-specific needs.
Provide high-quality, real-world input that will inform the development and refinement of AI models.
Contribute expertise in one or more specialty areas; specify your area of focus during the engagement process.
Preferred Qualifications
Minimum of 5 years’ professional experience in crop insurance adjusting, auction grading, or rental/lease return inspection.
Demonstrated proficiency in interpreting field and aerial imagery for agricultural or industrial assessments.
Thorough understanding of industry grading standards and loss assessment methodologies.
Exceptional attention to detail in documentation and reporting.
Strong written and verbal communication skills, with the ability to produce clear, well-supported justifications.
Comfort with remote work environments and digital platforms for document review and communication.
Experience across multiple specialty areas (crop, auction, rental) is a plus, but not required.
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micro1 recruits engineers and domain experts for AI labs using its AI interviewer. Once vetted, contractors work on human-data projects such as writing and checking model outputs or building coding evaluations.