独家：iMerit 发布平台连接AI开发者与专业域专家
IMerit Technology Service Pvt Ltd.)是数据注释和人工智能培训服务的提供者，由ExlService Holdings Inc.于7月提供收购，今天的发布是一个平台，帮助AI开发者招聘和管理能够评价，微调并验证模型，用于要求企业应用。
iMerit Scholars平台旨在管理一个全球网络，公司预计将发展到数十万专家。 现有社区包括118个国家的30 000多名经审查的专业人员，他们代表106种语言和学科，包括医学、数学、农业和自主系统。
称公司(发布)反映了AI开发的转变，从建设能力日益增强的基础模型转向为具体应用而改造这些模型，特别是在保健、银行和保险等受监管行业。
称 Radha Basu，执行副总裁兼EXLiMerit负责人。 随着企业在错误可能产生严重后果的应用程序中部署AI，她称专业人才日益重要。
该平台为招聘、录用、评价、指派和补偿专家提供了集中工具。 它围绕iMerit的专有安哥枢纽数据注释，工作流程自动化和微调模型平台构建，支持在多式联运培训数据，模型评价和反馈工作流程上的合作。 付款处理和合规能力是通过与Troley技术公司合并而提供的。
与传统数据标签服务不同，iMerit强调专家挑战AI模型和识别自动化评价可能错过的错误的能力。
“我们称之为折磨模型”,Basu 称。 “质疑模型，质疑模型以确保它发挥作用，实际上试图打破它。”
公司采用三级评估程序对参与者进行资格评定。 初步筛选评价一般AI能力和认知技能。 随后的评估研究了特定领域的资质和与AI模型有效合作的能力。 最专门的评价涉及由其他专家进行的同行审查。
公司还直接管理客户项目，而不是简单地将客户与独立承包商匹配。 其职责包括项目管理、质量保证和审计。 专家因个人参与而得到补偿，但仍是更广泛的学者群体的一部分。
保持长期关系很重要，因为专家通过连续的评价和培训周期积累关于模型的知识，Basu 称。
该公司提供若干定价安排，包括基于专门知识的小时费率、与特定交付品挂钩的合同以及与可计量成果相关的业务。 巴苏列举了查明早期作物歉收的农业模式，作为可对照绩效目标加以评价的工作实例。
称公司也可以满足剧烈波动的需求。 巴苏召回一名客户，要求三、四天内增加约400名工人，以满足紧急需要。
EXL收购让iMerit获得额外的医疗保健和保险专业知识，扩大其支持企业特定AI应用的能力。
Basu 称公司特别希望扩大其专业学科和语言的覆盖范围。 “我们目前最大的需要是进入新的专门知识
图片：Pixabay
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Exclusive: iMerit launches platform to connect AI developers with specialized domain experts
IMerit Technology Service Pvt Ltd., a provider of data annotation and artificial intelligence training services that was acquired by ExlService Holdings Inc. in July, today launched a platform to help AI developers recruit and manage specialized experts who can evaluate, fine-tune and validate models for use in demanding enterprise applications.
The iMerit Scholars platform is designed to manage a global network that the company expects to grow to hundreds of thousands of experts. Its existing community includes more than 30,000 vetted professionals across 118 countries, representing 106 languages and disciplines including medicine, mathematics, agriculture and autonomous systems.
The company said the launch reflects a shift in AI development from building increasingly capable foundation models to adapting those models for specific applications, particularly in regulated industries such as healthcare, banking and insurance.
“It’s like having a product and saying, ‘What are we going to do with it?’” said Radha Basu, executive vice president and head of iMerit at EXL. She said specialized human expertise is becoming increasingly important as enterprises deploy AI in applications where errors can have serious consequences.
The platform provides centralized tools for recruiting, onboarding, evaluating, assigning and compensating experts. Built around iMerit’s proprietary Ango Hub data annotation, workflow automation and model fine-tuning platform, it supports collaboration on multimodal training data, model evaluation and feedback workflows. Payment processing and compliance capabilities are provided through integration with Trolley Technologies Inc.
Unlike conventional data labeling services, iMerit emphasizes the ability of specialists to challenge AI models and identify mistakes that automated evaluations might miss.
“We call it tormenting models,” Basu said. “Question the model, question the model to make sure it’s working, actually try to break it.”
The company uses a three-tier assessment process to qualify participants. Initial screening evaluates general AI capabilities and cognitive skills. Subsequent assessments examine domain-specific qualifications and the ability to work effectively with AI models. The most specialized evaluations involve peer reviews conducted by other experts.
The company also manages customer projects directly rather than simply matching clients with independent contractors. Its responsibilities include project management, quality assurance and auditing. Experts are compensated for individual engagements but remain part of the broader Scholars community.
Maintaining long-term relationships matters because specialists build knowledge about models across successive evaluation and training cycles, Basu said.
The company offers several pricing arrangements, including hourly rates based on expertise, contracts tied to specified deliverables and engagements linked to measurable outcomes. Basu cited agricultural models that identify early crop failures as an example of work that could be evaluated against performance targets.
The company said it can also accommodate dramatically fluctuating demand. Basu recalled one customer requesting approximately 400 additional workers within three or four days to address an urgent requirement.
The EXL acquisition gives iMerit access to additional healthcare and insurance expertise, expanding its ability to support enterprise-specific AI applications.
Basu said the company particularly wants to broaden its coverage of specialized disciplines and languages. “Our biggest need right now is to go into new expertise, scale into newer languages and into newer levels of the same expertise,” she said.
Image: Pixabay
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