Part-Time
Voice Recording Collection
English Speakers, Indian or Philippine Accent
Updated on 8/23/2026
Perle
51-200 employees
Data labeling and RLHF services provider
No salary listed
Remote in India
Remote
 Business & Strategy (1) |
|---|
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- Native or fluent English speaker from India or the Philippines.
- Clear articulation and a natural Indian or Philippine accent.
- Access to a quiet recording space without background noise.
- A smartphone or computer with a good-quality microphone.
- Ability to follow simple recording instructions carefully.
- Record short provided text scripts using a mobile phone or computer in a quiet environment.
Kiva AI provides data labeling, annotation, and Reinforcement Learning from Human Feedback (RLHF) services for AI models. It uses a global pool of experts from over 70 countries to deliver high-quality, scalable labeling across diverse use cases. The process involves sourcing, screening, training, tooling, and incentivizing labelers to ensure accurate, reliable data. By offering scalable data solutions, Kiva AI helps businesses improve AI model performance and achieve a competitive advantage through better quality data. The company's goal is to be a trusted partner that delivers precise, timely data work at scale to support large AI projects.
Company Size
51-200
Company Stage
Seed
Total Funding
$16M
Headquarters
San Francisco, California
Founded
2024
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Simplify's Take
What believers are saying
- Perle raised $9 million from Framework Ventures, reaching $17.5 million total funding.
- Perle’s website updated March 27, 2026, shows active product development and hiring.
- Major exchange trading for PRL expands distribution and contributor incentives across 2026.
What critics are saying
- Perle Labs’ token economy risks regulatory scrutiny and weak enterprise adoption by 2027.
- Thirty-one employees on LinkedIn leaves Perle vulnerable if Framework funding stops.
- Open hiring for transcribers signals commodity labor dependence against Scale AI and Labelbox.
What makes Perle unique
- Perle combines expert annotation with blockchain provenance and on-chain attribution for auditable training data.
- Perle’s founders came from Scale AI, Meta, MIT, and Berkeley.
- Perle spans multimodal collection, RLHF, evaluation, and specialized domain experts in healthcare and law.
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Benefits
Professional Development Budget
Conference Attendance Budget
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 12%2 year growth
↓ -20%With this new capital, Perle will launch Perle Labs, a crypto-native ecosystem designed to transform how human input powers AI.
Perle has secured a $9 million seed round led by Framework Ventures, bringing its total funding to $17.5 million. The funds will launch Perle Labs, a Web3-powered AI data training platform that rewards users for contributing accurate data sets. By integrating blockchain, Perle aims to enhance AI model training with high-quality human input, reducing bias and improving performance. The platform supports multimodal data collection and reinforcement learning from human feedback.
Framework Ventures leads $9M seed round for AI project Perle.
The specialized AI service raised a $7 million seed round led by Coinfund.
Kiva AI closes $7 million seed round led by CoinFund to revolutionize expert-powered data solutions.