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AI Governance & Data Privacy Attorney

Austin, TX · Remote

$75 - $110/hr

Remote * Type: Contract / Temporary * Scope: AI intake, triage, and risk identification (non-advisory; escalation-focused) Company Description About us: Confidential Search Solutions ("CSS") is a ...

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What are the key skills and qualifications needed to thrive as a Temp Remote AI Specialist, and why are they important?

To thrive as a Temp Remote AI Specialist, you need a solid background in computer science, data analysis, and artificial intelligence concepts, often supported by relevant degrees or certifications. Familiarity with programming languages like Python, machine learning frameworks (such as TensorFlow or PyTorch), and remote collaboration tools is typically required. Strong problem-solving abilities, self-motivation, and effective virtual communication skills help you excel in a remote, rapidly evolving environment. These skills and qualities are crucial for delivering impactful AI solutions while efficiently collaborating with distributed teams.

What are some common challenges faced by professionals working in a temporary remote AI role, and how can they be addressed?

Professionals in temporary remote AI roles often encounter challenges such as quickly adapting to new projects, navigating unfamiliar codebases, and collaborating with teams across different time zones. To address these, it's helpful to proactively seek clear onboarding materials, set regular check-ins with team members, and utilize project management tools to stay aligned. Building strong communication habits and documenting your work thoroughly can also help overcome remote collaboration barriers and ensure a smooth workflow during your assignment.

What is a Temp Remote AI job?

A Temp Remote AI job refers to a temporary position that involves working with artificial intelligence (AI) technologies while operating remotely, usually from home or any location outside of a traditional office. These roles often include tasks such as data annotation, AI model training, machine learning support, or providing quality assurance for AI systems. The temporary nature of the job means it typically lasts for a set period or until the completion of a specific project. These positions are ideal for individuals seeking flexibility and exposure to the rapidly growing AI field.

What is the difference between Temp Remote Ai vs Data Analyst?

AspectTemp Remote AiData Analyst
Required CredentialsBasic understanding of AI tools, certifications in data or AI preferredBachelor's degree in Data Science, Statistics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentRemote, project-based, often freelance or contractTypically office or remote, full-time or part-time roles in organizations
Employer & Industry UsageTech companies, startups, AI-focused firmsVarious industries including finance, healthcare, marketing, and tech

Temp Remote Ai roles focus on supporting AI projects remotely, often requiring familiarity with AI tools and data handling. Data Analysts analyze data to inform business decisions, usually with more formal credentials. Both roles can be remote, but Temp Remote Ai is more project-based and specialized in AI support, while Data Analysts have broader industry applications.

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Temp Remote Ai jobs near you
AI Engineer (remote option)

AI Engineer (remote option)

Vitaver & Associates, Inc.

Juno Beach, FL • On-site, Remote

Other

Posted 21 days ago

Job description

14440 - AI Engineer (remote option) - Juno Beach,FL
Start Date: ASAP
Type: Temporary Project
Estimated Duration: 12 months with possible extensions
Work Setting: Onsite preferred; remote considered for highly qualified candidates
Only candidates able to relocate as required should apply to avoid removal from future consideration.
Required:
Experience in software engineering, AI engineering, or related roles (3-5+ years)
Experience with Python
Experience building and shipping production software systems
Full-stack development experience (frontend and backend)
Experience with cloud platforms (AWS, Azure, or GCP) and modern cloud architectures
DevOps experience, including CI/CD pipelines, containerization, and deployment automation
Experience designing and consuming APIs following industry best practices
Experience with source control and collaboration tools (e.g., GitHub)
Experience with GenAI
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field from an ABET-accredited program
Preferred:
Experience building LLM-powered applications
Experience with agentic or orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, or similar)
Experience with the energy sector, utilities, or industrial systems
Responsibilities:
Design and deliver generative AI applications that address real operational and business challenges, from concept through production
Translate business requirements into GenAI system architectures, selecting appropriate models, tools, and integration patterns
Build and maintain full-stack applications, including LLM-powered tools, internal platforms, and APIs
Implement LLM integrations using approaches such as RAG, prompt engineering, tool calling, and API-based workflows
Balance rapid experimentation with enterprise-grade reliability, security, and governance
Apply DevOps best practices to support CI/CD, monitoring, and scalable cloud deployments
Collaborate with engineering, IT, and business stakeholders while owning technical execution independently
Why apply?
Gain experience with one of the world's largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company;
Work with a great team of professionals and learn newest technologies and approaches;
Enjoy our Client's wonderful campus with top-notch facilities for work and recreation;
Benefit from multiple projects extensions;
Receive support and advice from Vitaver consultants who are already working at our Client's site;
Get extra cash by participating in Vitaver Successful Completion Bonus Program;
Always get paid in full and on time.

Apply