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Temporary Ai Data Collection Jobs in Nevada (NOW HIRING)

Data Analysis Tutor

Las Vegas, NV · 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 ...

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 ...

ERP AI Engineer - Manager

Las Vegas, NV · 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 ...

Data Analysis Tutor

Henderson, NV · 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 ...

Data Analysis Tutor

Reno, NV · 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 ...

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Shift Lead

Las Vegas, NV

$13.25 - $16.25/hr

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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 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 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 most commonly searched types of Ai Data Collection jobs in Nevada?

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

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

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

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

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

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

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

Infographic showing various Temporary Ai Data Collection job openings in Nevada as of August 2026, with employment types broken down into 57% Full Time, 6% Part Time, 12% Temporary, and 25% Contract. Highlights an 88% In-person, and 12% Remote job distribution.

Data and Automation Engineer - Python

Plum Inc

Las Vegas, NV

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Job description

About the Role

We're looking for an AI-Enabled Data & Automation Engineer who thrives on solving complex data challenges through software and automation. 

You'll be responsible for building scalable data pipelines, integrating data from multiple SaaS platforms, developing automation that powers lead generation and enrichment, and leveraging AI to dramatically accelerate development. You'll work with modern technologies including Python, Databricks, and LLM-powered tools to build solutions that directly impact business growth.

This role is ideal for someone who enjoys building, experimenting with new technologies, and continuously finding better and faster ways to solve problems.

Responsibilities
  • Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets.
  • Develop Python-based automation for data collection, transformation, validation, and workflow orchestration.
  • Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake.
  • Integrate and process data from multiple SaaS platforms through REST APIs and other integrations.
  • Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence.
  • Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching.
  • Process structured, semi-structured, and JSON data from a variety of internal and external sources.
  • Collaborate with product, engineering, and go-to-market teams to translate business requirements into scalable technical solutions.
  • Identify opportunities to automate repetitive processes and improve operational efficiency.
  • Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality.

Requirements

Technical Skills
  • 3-7+ years of experience in Data Engineering, Marketing Operations, Sales Operations, or a related technical field.
  • Strong Python programming skills with experience in data processing, automation, and API integrations.
  • Experience with Databricks, PySpark, SQL, and Delta Lake.
  • Experience integrating and processing data from multiple SaaS platforms via APIs.
  • Strong understanding of lead enrichment, data quality, deduplication, entity resolution, and contact/company matching.
  • Experience working with structured, semi-structured, and JSON data.
  • Familiarity with Git and modern software development practices.
  • Undergraduate Degree in Computer Science, Engineering, Physics or other relevant degree
AI & Productivity
  • Heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, or similar AI development assistants.
  • Demonstrated ability to leverage AI to accelerate software development, automate workflows, improve data quality, and increase productivity.
  • Comfortable rapidly prototyping, testing, and iterating using AI-assisted development.
Preferred Qualifications
  • Hands-on experience with lead generation and sales intelligence platforms such as Apollo, Clay, LinkedIn Sales Navigator, ZoomInfo, or similar tools.
  • Experience with CRM platforms such as Salesforce or HubSpot.
  • Familiarity with LLM APIs and AI-powered applications.
  • Experience working in fast-paced startup environments.
  • Strong communication skills with the ability to work cross-functionally and take ownership from concept through delivery.

Plum AI, Inc looks forward to applicants from US based candidates. We are not working with outside recruiters. We appreciate individual, not AI generated, applications. We may disqualify applicants who use AI in any part of the interview process.

Benefits

What We Offer:
  • A fast-paced, collaborative startup culture with high visibility.
  • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. 
  • Opportunity to make a meaningful impact in building a company and culture. 
  • Equity in a financial technology startup. 
  • Generous health, dental, and vision coverage for employees and family members + 401K.
  • Eleven paid holidays and unlimited discretionary vacation days.
  • Competitive compensation and bonus potential.