1

Weekend Ai Data Annotation Jobs in Florida (NOW HIRING)

Data Center Technician

Orlando, FL · On-site

$30 - $36/hr

The region is growing its GPU computing capacity for AI and simulation workloads. About Introl ... weekends, or non-standard hours as needed Legal authorization to work in the U.S. without ...

... classification, data validation, or data labeling/annotation; - Strong analytical skills ... AI tools (e.g., ChatGPT, Gemini, Claude) for data curation or evaluation. PERKS AND BENEFITS ...

Showing results 41-60

Weekend Ai Data Annotation information

What are Weekend AI Data Annotators?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.

What are some common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

What are the key skills and qualifications needed to thrive as a Weekend AI Data Annotation Specialist, and why are they important?

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.
What are the most commonly searched types of Ai Data Annotation jobs in Florida? The most popular types of Ai Data Annotation jobs in Florida are:
What are popular job titles related to Weekend Ai Data Annotation jobs in Florida? For Weekend Ai Data Annotation jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Weekend Ai Data Annotation jobs in Florida look for? The top searched job categories for Weekend Ai Data Annotation jobs in Florida are:
What cities in Florida are hiring for Weekend Ai Data Annotation jobs? Cities in Florida with the most Weekend Ai Data Annotation job openings:
Information Technology_USA - USA_Developer

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Posted 24 days ago


Job description

JD - Program Lead (AI Tooling & AI DLC Enablement)
Role Title
AI Program Lead - Tooling, AI DLC & Solution Architecture
Role Summary
Act as the single-threaded leader responsible for driving:
• AI tooling strategy
• AI Development Lifecycle (AI DLC)
• Jellyfish and Amplitude teams management
• Proposal and solution definition
This role is not just coordination - it must actively shape solution architecture, define scope, and drive execution.
Key Responsibilities
• Lead end-to-end solution definition and proposal development
• Define:
o AI Development Lifecycle (AI DLC) frameworks
o Intake processes and artifacts
o End-to-end AI delivery lifecycle
• Drive alignment across:
o AI DLC
o Quality Engineering (AIQE)
o App Ops / Observability
• Own development of:
o Solution architecture
o Delivery roadmap
o Execution model
• Coordinate and manage:
o Jellyfish and Amplitude teams
o Engineering and product stakeholders
• Facilitate working sessions with stakeholders to:
o Refine scope
o Finalize vision
• Ensure:
o Clear articulation of "what will be built" (key client gap)
• Drive delivery readiness and execution planning
Required Skills
• Strong experience in:
o Program leadership (AI, Data or Digital programs)
o Solution architecture and proposal building
• Deep understanding of:
o AI/ML lifecycle
o Engineering workflows
• Proven ability to:
o Define large-scale transformation programs
• Strong stakeholder engagement at leadership level
Preferred Skills
• Experience in:
o AI factory frameworks
o Agent-based / LLM-based systems
• Exposure to:
o Observability, analytics, and tooling ecosystems
Profile Expectation (Critical per Customer)
• Fully dedicated resource (not part-time)
• Ability to work in intense collaboration (even evenings/weekends if needed)
• Strong ownership mindset (not staff augmentation mindset)
• Capable of bridging gap between:
o Vision
o Architecture
o ExecutiTION
Role Descriptions: AI Tooling Program Lead Manager
Essential Skills: AI Tooling Program Lead Manager
Desirable Skills:
Keyword:
Skills: AI & Gen AI - Products & Tools
Experience Required: 6-8