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Overnight Ai Data Rater information

What is an Overnight AI Data Rater?

Overnight AI Data Raters are individuals who work outside of regular business hours to evaluate and label data used to train artificial intelligence systems. Their main responsibilities include reviewing text, images, audio, or video content and providing accurate assessments or categorizations according to specific guidelines. This work is crucial in ensuring AI models can learn from high-quality and unbiased data. Typically, these roles are remote and may require attention to detail, consistency, and adherence to data privacy standards.

What are the key skills and qualifications needed to thrive as an Overnight AI Data Rater?

To thrive as an Overnight AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in following complex guidelines, usually supported by at least a high school diploma or equivalent. Familiarity with data labeling tools, web browsers, and sometimes proprietary platforms is important, as well as the ability to quickly adapt to evolving AI systems. Excellent time management, self-motivation, and clear written communication help individuals excel in this often-remote, independent role. These skills ensure accurate data evaluation, which is crucial for improving AI systems and maintaining quality standards during off-peak hours.

What are some common challenges faced by Overnight AI Data Raters, and how can they be managed?

Overnight AI Data Raters often encounter challenges such as maintaining focus during late-night shifts and accurately evaluating large volumes of data within tight deadlines. Managing these challenges involves establishing a consistent sleep schedule, taking regular breaks to avoid fatigue, and using productivity tools to track progress. Collaborating with team members via chat platforms can also help resolve uncertainties in data interpretation, ensuring high-quality work even during less supervised hours.

What is the difference between Overnight Ai Data Rater vs Data Annotator?

AspectOvernight Ai Data RaterData Annotator
CredentialsBasic computer skills, sometimes high school diplomaBasic computer skills, sometimes high school diploma
Work EnvironmentRemote, flexible hours, often overnight shiftsRemote or on-site, flexible or regular hours
Industry UsageAI training data, machine learning modelsData labeling, training datasets for AI
Job FocusReviewing and rating data for AI modelsLabeling and annotating data for AI training

Both Overnight Ai Data Raters and Data Annotators work in AI data preparation, often remotely, with similar entry-level requirements. The key difference is that Overnight Ai Data Raters primarily review and rate data, often during overnight shifts, while Data Annotators focus on labeling and annotating data to create training datasets. Understanding these distinctions helps job seekers find roles aligned with their skills and preferred work hours.

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 cities in Connecticut are hiring for Overnight Ai Data Rater jobs?

Cities in Connecticut with the most Overnight Ai Data Rater job openings:

Overnight Ai Data Rater jobs near you

Data Engineering Manager

Advanced Bio-Logic Solutions Corp.

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Re-posted yesterday

Job description

Location: Remote - Hartford, CT
Employment Type: Contingent Worker (Contract, W2)
Contract Length: 12 months (possible extension)
Compensation: Open Market Rate
Summary of the Role
Support the global distribution organization of a large biotech pharmaceutical leader by designing, developing, and implementing AI, GenAI, custom GPT, automation, and data-enabled solutions to enhance business processes and operational efficiency. Collaborate directly with business stakeholders to identify opportunities, build scalable digital solutions, and ensure compliance and scalability. This hands-on role is ideal for a technical developer who thrives in translating business challenges into practical technology solutions.
Key Responsibilities
  • Design, develop, test, and implement AI, GenAI, custom GPT, automation, and data-driven solutions
  • Partner with business stakeholders to understand operational challenges and identify digital automation opportunities
  • Build and configure AI tools, automation workflows, and data analytics solutions using various platforms and coding languages
  • Write or adapt code, scripts, and workflows as needed to solve business problems
  • Ensure digital and AI solutions are secure, scalable, compliant, and sustainable
  • Support data standardization, data transformation, and validation efforts
  • Translate business requirements into technical designs, prototypes, MVPs, and scalable solutions
  • Document technical designs, workflows, business rules, data logic, and support procedures
  • Test, validate, troubleshoot, and enhance digital or AI-enabled solutions
  • Communicate effectively with both technical and non-technical stakeholders

Required Experience & Skills
  • Hands-on experience developing AI, GenAI, automation, analytics, or digital workflow solutions
  • Ability to build or configure custom GPTs, AI assistants, chatbots, or GenAI-enabled solutions
  • Experience writing or adapting code, scripts, workflows, or automation logic
  • Working knowledge of Python, SQL, JavaScript, Power Platform, Power Automate, APIs, or similar tools
  • Experience with tools such as Microsoft Copilot Studio, Azure OpenAI, Power Apps, Databricks, Snowflake, Alteryx, Tableau, Power BI, SharePoint, Jira, or Confluence
  • Experience with embedding, semantic search, vector databases, and document intelligence
  • Understanding of prompt engineering, AI solution design, workflow automation, and data transformation
  • Proven ability to translate business requirements into technical solutions
  • Experience with structured and unstructured data processing, including extraction, cleansing, mapping, validation, and transformation
  • Strong business analysis, requirements gathering, process mapping, and documentation skills
  • Collaboration skills for working with business and technical teams
  • Ability to test, validate, troubleshoot, and enhance digital solutions
  • Strong documentation and communication skills

Preferred Qualifications
  • Experience in global supply chain, distribution, logistics, manufacturing, biotech, pharmaceutical, or regulated industries
  • Familiarity with software development practices, version control (GitHub), APIs, testing frameworks, CI/CD, or MLOps
  • Automation development for reporting, data reconciliation, exception management, workflow routing, or dashboards
  • Understanding of data governance, master data management, metadata, data stewardship, data lineage, and data quality frameworks
  • Familiarity with supply chain processes such as order management, inventory, warehouse operations, transportation, cold chain, serialization, trade compliance, or distribution planning
  • Experience with Agile, SAFe, product ownership, or digital product delivery
  • Knowledge of responsible AI, data privacy, cybersecurity, and compliance for enterprise AI solutions
  • Professional certifications such as AI, GenAI, Prompt Engineering, Microsoft Power Platform, Azure AI, Data Analytics, Automation/RPA, Agile/SAFe, APICS/CSCP/CPIM, Business Analysis, Cloud, Databricks, or Data Engineering

Top 3 Must Have Skills
1. Hands-on experience developing AI, GenAI, automation, analytics, or digital workflow solutions
2. Ability to build or configure custom GPTs, AI assistants, chatbots, prompt-based workflows, or similar GenAI solutions
3. Experience writing or adapting code, scripts, workflows, or automation logic
Day-to-Day Responsibilities
  • Translate business requirements into technical designs and scalable solutions
  • Work with structured and unstructured data for extraction, cleansing, mapping, validation, and transformation
  • Conduct requirements gathering, process mapping, documentation, and engage with stakeholders

Basic Qualifications
  • Master's degree and 3 to 5 years of relevant experience in Computer Science, Information Systems, Data Analytics, Engineering, Supply Chain, Digital Transformation, Automation, or a related field
  • Bachelor's degree and 5 to 7 years of relevant experience in Computer Science, Information Systems, Data Analytics, Engineering, Supply Chain, Digital Transformation, Automation, or a related field
  • Diploma and 9 to 11 years of relevant experience in Digital Solutions, Automation, Data Analytics, Software Development, Supply Chain Systems, or a related field.

This posting is for Contingent Worker, not an FTE
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About Advanced Bio-Logic Solutions

Sourced by ZipRecruiter

At ABL, we combine our 15 years of staffing experience with our excellent relationships with top-rated companies to find you the perfect career fit. Our long-term client relationships allow us to find and facilitate rewarding engagements for our employees. You can count on ABL to deliver the right career match, whether you are looking for a consulting assignment or a permanent position. In the field of technology, there are many options that might interest a potential consultant. Whether you specialize in software development, design, analysis or support, we have technology career opportunities in the following areas:

Industry

Biotechnology research and development

Company size

1 - 10 Employees

Headquarters location

Westlake Village, CA, US

Year founded

2002

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