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Remote Ai Tasker Jobs in Maine (NOW HIRING)

Nourish

Senior RCM Associate

Portland, ME · Remote

We're an AI-native digital health system matching patients with 10,000+ Registered Dietitians ... This role is full-time and fully remote (with option to work from our NYC office). Key ...

Nourish

RCM Lead

Portland, ME · Remote

We're an AI-native digital health system matching patients with 10,000+ Registered Dietitians ... This role is full-time and fully remote (with option to work from our NYC office). Key ...

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Remote Ai Tasker information

What skills and qualifications are needed to thrive as a remote AI tasker?

To thrive as a Remote AI Tasker, you need strong analytical skills, attention to detail, and the ability to follow complex instructions, usually supported by a high school diploma or higher education. Familiarity with data annotation platforms, AI training tools, and workflow management systems is often required. Excellent communication, time management, and self-motivation are standout soft skills for remote collaboration and consistent productivity. These skills ensure high-quality data labeling and efficient support of AI development projects in a distributed work environment.

What is the difference between Remote Ai Tasker vs Data Annotator?

AspectRemote Ai TaskerData Annotator
CredentialsBasic computer skills, training in AI toolsBasic computer skills, sometimes specialized in annotation tools
Work EnvironmentRemote, flexible hoursRemote or onsite, flexible hours
Industry UsageAI development, machine learning projectsMachine learning, AI training datasets
Job FocusPerforming specific AI-related tasks like data labeling or testingLabeling, tagging, and annotating data for AI models

Remote Ai Taskers and Data Annotators both work remotely in AI-related fields, often performing data labeling and testing tasks. However, Remote Ai Taskers may handle a broader range of AI-specific tasks, while Data Annotators primarily focus on data labeling and annotation. Both roles require similar skills and are essential for training AI models, making them closely related in the AI industry.

What are common challenges faced by remote AI taskers, and how can they be managed?

Remote AI Taskers often face challenges such as managing tight deadlines, handling repetitive tasks, and maintaining clear communication with team leads despite working virtually. Staying organized with scheduling tools, actively participating in regular check-ins, and seeking clarification on task requirements can help mitigate these challenges. Additionally, setting a consistent work routine and leveraging productivity techniques can improve focus and efficiency, making the remote work environment more manageable.

What is a remote AI tasker?

Remote AI Taskers are individuals who perform various tasks to help train, test, and improve artificial intelligence systems from a remote location. Their work may include data labeling, categorizing images or text, transcribing audio, or providing feedback on AI outputs. These tasks are essential for ensuring that AI models learn accurately and perform as expected. Remote AI Taskers typically work on a freelance or contract basis, often for technology companies or crowdsourcing platforms.
What are the most commonly searched types of Ai Tasker jobs in Maine? The most popular types of Ai Tasker jobs in Maine are:
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What job categories do people searching Remote Ai Tasker jobs in Maine look for? The top searched job categories for Remote Ai Tasker jobs in Maine are:
Remote Ai Tasker jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Auburn, ME • Remote

Full-time

Re-posted 16 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