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Temporary Ai Data Collection Jobs in Ohio (NOW HIRING)

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.

New

$120 - $150/hr

... temporary quick fixes. You will bring this mindset into high-stakes, regulated environments (such ... As a Senior Data & AI Architect, you will shape the data ecosystems of our clients and represent ...

New

$70 - $90/hr

... ensuring data collection that is privacy-compliant, accurate, and built to last * You ... AI-powered analytics to stay ahead of the curve * You plan and analyze A/B tests across the entire ...

New

A letter of recommendation mentioning your experience in the data collection field. * Full management support and opportunity to grow. We may use artificial intelligence (AI) tools to support parts ...

AI Defense Engineer

Cincinnati, OH · On-site

$120 - $160/hr

Practical understanding of ML/AI pipelines: data collection, feature engineering, training, evaluation, deployment, monitoring. * Strong understanding of how enterprise AI services (SaaS/PaaS) are ...

New

$23.40 - $28.60/hr

S. criminal justice system - including a national tracking platform mapping AI adoption across ... Supporting qualitative research, including carrying out data collection and data analyses as well ...

Execute operational procedures according to established guidelines Data Collection & Quality ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Showing results 41-60

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 Ohio?

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

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

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

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

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

Infographic showing various Temporary Ai Data Collection job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior AI/ML Lead Engineer

Altamira Technologies Corp.

Fairborn, OH • On-site

Full-time

Posted 5 days ago


Job description

Description
Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies.
Altamira Technologies Corporation is in search of a Senior AI/ML Lead Engineer in Dayton, OH
As the Senior AI/ML Lead Engineer, you will spearhead the development and deployment of intelligent systems designed for real-world object tracking, automated monitoring, and intelligent triaging. You will bridge the gap between high-level research and production-grade software, coordinating complex data collections across multiple concurrent projects.
Acceptable candidates must be a US citizen and hold a current Secret clearance or higher.
Core Responsibilities
  • System Architecture: Design and implement scalable, high-performance infrastructures for real-time object detection and tracking using frameworks like PyTorch or TensorFlow.
  • Intelligent Triaging: Develop automated triage systems that prioritize and categorize incoming sensor or project data, ensuring critical events are escalated instantly.
  • Collection Coordination: Architect multi-agent or agentic workflows to synchronize data collection efforts across various projects, optimizing resource allocation.
  • Technical Mentorship: Lead a high-performing team of engineers, conducting code reviews and setting engineering standards for MLOps and production pipelines.
  • Strategic Integration: Collaborate with project managers to translate complex client requirements into actionable AI/ML roadmaps.

Qualifications & Skills
  • Education: Bachelor's or above in Computer Science, AI, or a related quantitative field.
  • Experience: 7+ years of professional experience in machine learning, with at least 3 years in a leadership or "tech lead" capacity.
  • Computer Vision Expertise: Proven track record in developing computer vision models for object tracking (e.g., CNNs, Transformers) and real-time video analytics.
  • Advanced Programming: Expert-level proficiency in Python and familiarity with backend deployment tools (Docker, Kubernetes).
  • Data Management: Experience overseeing the full data lifecycle, from acquisition and cleaning to high-fidelity labeling for specialized collections.
  • Communication: Ability to articulate complex AI concepts to non-technical stakeholders and executive leadership.

Preferred Qualifications
  • Experience with agentic AI frameworks and best practice for multiple separate or stacked models
  • Experience managing AI/ML models within development and production environments to include model versioning, source code management, and deployment architecture
  • Familiarity with federal or defense-sector compliance

Altamira is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. We focus on recruiting talented, self-motivated employees that find a way to get things done. Join our team of experts as we engineer national security!