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Temporary Ai Data Collection Jobs in Connecticut

STI

Data Scientist

Hartford, CT · On-site

... collection and analysis of data • Bridging the divide between technical and business teams ... AI, and cognitive service engine models • Experience with programming languages like SQL, Python ...

Varsity Tutors

Data Analysis Tutor

Stamford, CT · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

Varsity Tutors

Data Analysis Tutor

Hartford, CT · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

Varsity Tutors

Data Analysis Tutor

Norwalk, CT · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

Varsity Tutors

Data Analysis Tutor

New Haven, CT · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

Varsity Tutors

Data Analysis Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

Pwc

ERP AI Engineer - Manager

Hartford, CT · On-site

$99K - $232K/yr

You will be responsible for tasks such as data collection, data cleansing, data transformation ... This role offers the chance to shape AI solution architecture while driving innovation and ...

Pwc

ERP AI Engineer - Manager

Stamford, CT · On-site

$99K - $232K/yr

You will be responsible for tasks such as data collection, data cleansing, data transformation ... This role offers the chance to shape AI solution architecture while driving innovation and ...

Dyno Nobel

Process Engineer (Temporary)

Simsbury, CT · On-site

Employ hands-on approach to data collection, analysis, recommendations of opportunities, and ... This temporary process engineer position will be eligible for our base medical benefits package ...

RPMGlobal

Process Engineer (Temporary)

Simsbury, CT · On-site

$70 - $100/hr

Employ hands‑on approach to data collection, analysis, recommendations of opportunities, and ... This temporary process engineer position will be eligible for our base medical benefits package ...

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All JobsAi Data Collection JobsTemporary Ai Data Collection JobsTemporary Ai Data Collection Jobs in Connecticut

Temporary Ai Data Collection information

What is temporary AI data collection?

Temporary AI data collection is a short-term job where individuals gather, label, or organize data used to train artificial intelligence systems. This can involve tasks such as taking photos, recording audio, transcribing text, or annotating images and videos according to specific guidelines. The work is often project-based and helps improve the accuracy and performance of AI models. People in these roles play a vital part in ensuring that AI systems learn from diverse, well-organized, and correctly labeled data.

What does a typical day look like for someone in a temporary AI data collection role?

In a Temporary AI Data Collection position, your daily tasks often involve gathering, labeling, and organizing large sets of data—such as images, text, or audio—that will be used to train machine learning models. You may work independently or as part of a team, following specific guidelines to ensure data accuracy and consistency. Attention to detail is crucial, as even small errors can impact the quality of AI systems. Collaboration with project managers or data scientists is common, especially when clarifying data requirements or resolving ambiguities. The work environment is typically fast-paced, with clear deadlines and performance metrics to meet.

What are the key skills and qualifications needed to thrive as a temporary AI data collection specialist, and why are they important?

To thrive as a Temporary AI Data Collection Specialist, you need attention to detail, basic data entry skills, and the ability to follow structured guidelines, often with a high school diploma or equivalent. Familiarity with data annotation platforms, spreadsheets, and cloud-based collaboration tools is typically required. Reliability, adaptability, and strong communication skills help ensure accurate data collection and effective teamwork. These skills are important for producing high-quality datasets that improve AI models and support project goals.

What is the difference between Temporary Ai Data Collection vs Data Annotator?

AspectTemporary Ai Data CollectionData Annotator
CredentialsBasic computer skills, sometimes familiarity with data collection toolsAttention to detail, basic technical skills, sometimes training in annotation tools
Work EnvironmentRemote or on-site, often flexible hoursRemote or on-site, focused on labeling data
Industry UsageUsed in AI training data gathering, machine learning projectsUsed in preparing datasets for AI models, image/video/text annotation

Temporary Ai Data Collection involves gathering raw data for AI training, often requiring data sourcing skills. Data Annotator focuses on labeling and annotating data to make it usable for machine learning. Both roles are essential in AI development but differ in their specific tasks and skill requirements.

What are the most commonly searched types of Ai Data Collection jobs in Connecticut?

The most popular types of Ai Data Collection jobs in Connecticut are:

What are popular job titles related to Temporary Ai Data Collection jobs in Connecticut?

For Temporary Ai Data Collection jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Temporary Ai Data Collection jobs in Connecticut look for?

The top searched job categories for Temporary Ai Data Collection jobs in Connecticut are:

What cities in Connecticut are hiring for Temporary Ai Data Collection jobs?

Cities in Connecticut with the most Temporary Ai Data Collection job openings:

Temporary Ai Data Collection jobs near you
Infographic showing various Temporary Ai Data Collection job openings in Connecticut as of August 2026, with employment types broken down into 46% Full Time, 8% Part Time, 15% Temporary, and 31% Contract. Highlights an 85% In-person, and 15% Remote job distribution.

Data Scientist

STI

Hartford, CT • On-site

Full-time

Re-posted 19 days ago

Job description

Experience Required for This Role
Data Research & Analysis - at least 3 years of measurable experience in the following:
• Analyzing data and customer metrics to fulfill specific business goals
• Using data to help teams improve functionality and operations
• Developing and applying data models to improve the collection and analysis of data
• Bridging the divide between technical and business teams through data
• Communicating data analysis to various levels of stakeholders through visualizations
• Data cleansing, optimizing, and ETL
• Developing and analyzing user surveys
• Expertise in the principles and operating procedures of a specific industry
• Performing competitor research to help improve products and services
• Researching latest market trends and implementing knowledge
• Creating dashboards and reports that are easy to understand for non-technical users
• Organizing and storing data and queries for easy access in future work projects
• Documenting data collection and analysis procedures
• Organizing focus groups and feedback loops to establish data collection
• Using data to isolate problems and develop solutions
• Discovering and establishing proper KPIs to help track success
• Preparing and executing ROI analysis
• Establishing testing of products/services based off data analysis
• Identifying and understanding issues through forecasting, gap analysis, quantitative reporting, research, and statistical analysis
• Providing insights and recommending changes based on data findings
Knowledge, Skills, and Ability
Data Science
• Experience with machine learning, AI, and cognitive service engine models
• Experience with programming languages like SQL, Python, R, and Scala
• Using analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite)
• Experience using business intelligence tools like Tableau or Power BI
• Experience in data collection from on-prem and cloud platforms like Microsoft, Azure, and Salesforce
• Engaging in data experiments to provide cross-persona or enterprise analysis
• Leveraging statistical analysis and algebra
• Improving research or data management environments
• Leveraging economics, business/systems analysis, and quality assurance
• Manipulating large, complex data sets
• Documenting processes and modelling
Performance in Complex Situations
• Communication and collaboration with cross-functional teams and state-wide partners
• Clearing challenges for team members
• Comfort in blazing a path through an ambiguous work environment
• Judgement fitting to the ever-changing environment
• Ability to juggle multiple project workstreams
Service Design Team Building
• Supporting teammates' skills and behavior development and delivery
• Advocating data strategies both internally and externally
• A balance between strong domain expertise and flexibility
• Prioritization, organization, and triage in an independent environment
• Encouraging of an interactive, cooperative, collaborative, and customer-focused work environment
• Ability to maintain strict confidentiality
• Judgement in dealing effectively and diplomatically with all levels of government staff
Preferred Skills & Qualifications
Other Desirable Skills
• Deep domain knowledge for a particular industry - especially Health, Business, or Education
• Bachelor's degree in computer science, business, IT, management, administration, economics, or information science
• 2 years of user research and feedback analysis
• 2 years of data governance and working within data security groups
• 1 year of API development
• 1 year of marketing experience, supported through metrics
• 1 year of project management experience
• 1 year of experience with customer relationship management platforms such as Salesforce
• 1 year of experience with web content management platforms such as Sitecore

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