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Remote Google Data Collector Jobs in Colorado (NOW HIRING)

Fruition

SEO Strategist

Denver, CO · On-site +1

$70K - $90K/yr

Set up Google Tag Manager containers and required tags * Implement and audit structured data to ... Denver area preferred, but open to remote US-based candidates who fit the role * Must be able to ...

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Vero Networks

Fiber Designer

Denver, CO · On-site +1

$75K - $90K/yr

In this remote-eligible role, you will design complex fiber optic splicing plans based on customer ... You will also maintain network data accuracy within our inventory management system, audit ...

Welo Data

English AI Maps Trainer

Keystone, CO · Remote

$20.30/hr

An existing, actively used Gmail account with prior usage history on Google Maps. * Participation ... Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis.

FinFolio

Our software reports, trades, and bills investment accounts * 100% remote company with great ... GMail for communication with clients and data vendors * Gusto for HR and payroll * Google Drive for ...

BarkleyOKRP

Supervisor, Paid Search

Denver, CO · On-site +1

$80K - $95K/yr

Exceptional communication skills and the ability to work collaboratively in a remote environment ... GA4, Adobe, etc.) * Google AdWords proficiency * Experience managing data feeds and shopping ...

Trivium

High-ticket Closer

Denver, CO · Remote

$250K/yr

US - fully remote We're hiring a high-performance closer to sell QuickRank, AI-powered local SEO ... Targets up to 10 high-intent keywords per business Optimizes Google Business Profiles using Google ...

Digital Remedy

Senior Paid Search Strategist

Denver, CO · Remote

$69K - $87K/yr

This is a remote position; however, the selected candidate must be available to work during ... Google Certifications - Ads & YouTube/Video * Strong expertise in conversion tracking setup (Google ...

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All JobsGoogle Data Collector JobsRemote Google Data Collector JobsRemote Google Data Collector Jobs in Colorado

Remote Google Data Collector information

What is the difference between Remote Google Data Collector vs Remote Data Entry Specialist?

AspectRemote Google Data CollectorRemote Data Entry Specialist
Required SkillsData collection, Google tools, basic data analysisData input, accuracy, typing speed
CertificationsGoogle certifications helpful but not mandatoryNone typically required
Work EnvironmentRemote, often project-basedRemote, administrative setting
Industry UsageMarket research, data collection projectsAdministrative, database management

The Remote Google Data Collector focuses on gathering data using Google tools and platforms, often for research or market analysis. In contrast, a Remote Data Entry Specialist primarily inputs and manages data in databases or spreadsheets. Both roles are remote and require attention to detail, but the Google Data Collector emphasizes data sourcing and collection, while the Data Entry Specialist emphasizes data accuracy and entry speed.

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The most popular types of Google Data Collector jobs in Colorado are:

What cities in Colorado are hiring for Remote Google Data Collector jobs?

Cities in Colorado with the most Remote Google Data Collector job openings:

Remote Google Data Collector jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Colorado Springs, CO • Remote

Full-time

Re-posted 17 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply