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Temporary Ai Data Collection Jobs in Kentucky (NOW HIRING)

$51 - $73/hr

# Senior Python Data Scraping Engineer (Freelance) at Toloka AI* Part-time* Remote, South Carolina ... Leverage available tools and custom workflows to accelerate data collection, validation, and task ...

$100 - $120/hr

Phase2 is looking for a Senior Data Analyst who can help our clients move from data collection to ... Identify analytics workflows that can be accelerated or augmented using AI (e.g., automated ...

$140 - $190/hr

Collection Coordination:Architect multi-agent or agentic workflows to synchronize data collection ... Education:Bachelor's or above in Computer Science, AI, or a related quantitative field.

$196 - $294/hr

Shield AI is a venture‑backed defence‑tech company with the mission of protecting service ... Flight Data Capture & Analysis -- Manage data collection during missions and post‑test analysis ...

$122 - $180/hr

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid ... Identify data gaps and partner with stakeholders to improve data collection, hygiene, and ...

$140 - $210/hr

... AI/ML frameworks) * Cloud-native patterns (Azure/AWS/GCP) * Ensure system observability (logging, monitoring, alerting) Responsibilities * Coordinates and reviews data collection, trend ...

$120 - $180/hr

Shape the AI Policy Council's agenda and contribute substantively to Educate Texas' policy ... Work in partnership with Strategy and Insights to design data collection, analysis, and synthesis ...

$76 - $108/hr

The Senior Data Analyst will provide support to key projects through data collection, computational ... Understanding of, and experience in, using AI-enabled tools to provide appropriate levels of ...

$90 - $120/hr

Our vertically integrated voice AI platform depends on strategically created, curated, and labeled audio: from original data collection and augmentation, to structured workflows and evaluation sets.

Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work ... Advise customers on best practices in data collection, data quality, evaluation, and model training ...

$183 - $250/hr

... on study design, data collection, assessment of data quality, quantitative analysis, and ... Oversee AI implementations. * Develops the platforms and tools to enhance the organization ...

New

$90 - $130/hr

Optical Test Engineer, AI Satellites (Starmind) Bastrop, TX SpaceX was founded under the belief ... In this role, you will need to automate test procedures and data collection for high volume ...

$55 - $90/hr

... field data collection. * Experience leveraging AI and automation tools responsibly to improve ... Temporary contract position (estimated 1 year, with potential for extension, or direct onboarding ...

$80 - $110/hr

As a member of our tech-forward team, you will continuously adapt and integrate cloud native AI ... RESPONSIBILITIES Data Collection and Analysis * Collect, analyze, and report data from various ...

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Showing results 21-40

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 popular job titles related to Temporary Ai Data Collection jobs in Kentucky?

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

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

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

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

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

Senior Python Data Scraping Engineer (Freelance) at Toloka AI

aitrainer

On-site

$51 - $73/hr

Other

Posted 5 days ago


Job description

# Senior Python Data Scraping Engineer (Freelance) at Toloka AI* Part-time* Remote, South Carolina, United States CoApply nowDescription Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project ( https://tendem.ai/ ) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What We Do The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts. About the Role This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches. Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential. Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $45 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. #J-18808-Ljbffr