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Ai Data Rater information

What is an AI Data Rater job?

An AI Data Rater evaluates and rates AI-generated content, such as search engine results, chat responses, or recommendations, to improve machine learning models. They follow specific guidelines to assess relevance, accuracy, and quality. This role helps refine AI systems by providing valuable feedback to enhance their performance. It typically requires strong analytical skills, attention to detail, and familiarity with the subject matter being rated.

What are the key skills and qualifications needed to thrive in the Ai Data Rater position, and why are they important?

To succeed as an AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in evaluating data quality, typically requiring at least a high school diploma or equivalent. Familiarity with computer systems, web browsers, and proprietary rating platforms is often necessary, and training in data privacy or AI guidelines is sometimes provided. Excellent time management, adaptability, and effective written communication help candidates stand out in this largely remote and independent role. These skills ensure accurate data evaluations, support AI improvement, and enable consistent, high-quality performance.

What are some typical daily responsibilities for an AI Data Rater?

As an AI Data Rater, your main responsibilities include reviewing and evaluating various types of data—such as search queries, images, or social media content—according to detailed guidelines provided by your employer. You will typically work independently, using specialized tools or web-based platforms to rate data quality, relevance, or appropriateness. Attention to detail and consistency are important, as your feedback directly impacts the effectiveness of AI systems. Depending on the employer, you may also participate in training sessions or occasional team meetings to stay updated on the latest guidelines or project requirements.

What are the most commonly searched types of Ai Data Rater jobs in Connecticut? The most popular types of Ai Data Rater jobs in Connecticut are:
What are popular job titles related to Ai Data Rater jobs in Connecticut? For Ai Data Rater jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Ai Data Rater jobs in Connecticut look for? The top searched job categories for Ai Data Rater jobs in Connecticut are:
What cities in Connecticut are hiring for Ai Data Rater jobs? Cities in Connecticut with the most Ai Data Rater job openings:
Ai Data Rater jobs near you
Infographic showing various Ai Data Rater job openings in Connecticut as of June 2026, with employment types broken down into 36% Full Time, and 64% Part Time. Highlights an 67% In-person, and 33% Remote job distribution.
Lead Data Product Engineer - Hybrid - Full-time

Lead Data Product Engineer - Hybrid - Full-time

Benchmark IT- Technology Talent

Norwalk, CT • On-site

$114K - $138K/yr

Other

Posted 24 days ago

Job description

<>Lead Data Product Engineer - Hybrid - Full-time

For our direct client near Norwalk, CT, we seek a Lead Data Product Engineer to build the foundation that makes data and AI products possible. In this role, you'll design and maintain the centralized datasets, pipelines, and integrations that connect modern AI-enabled and AI-first systems with the existing tools our business runs on. Partnering with engineering, analytics, and business stakeholders, you'll identify gaps, establish trusted sources of truth, and simplify how data moves across the organization. You'll also be bringing engineering rigor to data and AI workflows through best practices in versioning, testing, observability, and deployment.

Key Responsibilities

  • Identify gaps in the current data ecosystem and chart a pragmatic path forward
  • Establish and maintain centralized, well-defined datasets as sources of truth
  • Map and document end-to-end data models, flows, and dependencies across systems, tools, and products
  • Build data pipelines using Python, SQL, and orchestration tools (e.g., Prefect)
  • Design and implement integrations between AI systems and existing systems
  • Support production AI workflows, ensuring reliability, scalability, and observability
  • Partner with stakeholders to standardize how data moves across the organization
  • Implement guardrails for data quality, consistency, and lineage
  • Introduce best practices around versioning, testing, deployment, and monitoring of production data and AI systems

Skills and Qualifications

  • 5+ years of engineering experience focused on data systems and pipelines
  • Strong proficiency in Python, SQL, and orchestration tools
  • Experience designing scalable data platforms and turning fragmented data into reliable, centralized datasets, with strong system design and data modeling skills
  • Ability to design integrations across disparate systems (APIs, databases, third-party platforms) with a clear grasp of end-to-end data flows
  • Familiarity with data quality, lineage, and observability practices for building resilient production systems
  • Experience supporting AI/ML workflows in production
  • Ability to take end-to-end ownership, and collaborate effectively with cross-functional stakeholders

This position is a hybrid position, 3-4 days a week onsite. Visa sponsorship is not available for this role. Relo assistance could be an option.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: bmarkits.com/privacy-policy

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