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Remote Ai Tasker Jobs in Colorado (NOW HIRING)

Remote AI Training Engineer & SRE

Denver, CO · Remote

$58.75 - $78/hr

A tech company specializing in AI is seeking proficient programmers to join their remote team ... As part of a broader coding community, you will tackle diverse programming tasks, focusing on ...

Senior AI/ML Engineer

Almont, CO · Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning ... tasks. * Integration of transformers into OCR pipelines and collaboration with OCR technologies.

New

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as ... Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as ... Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

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Remote Ai Tasker information

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

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 are some common challenges faced by Remote AI Taskers, and how can they be managed effectively?

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 are Remote AI Taskers?

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 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 the most commonly searched types of Ai Tasker jobs in Colorado? The most popular types of Ai Tasker jobs in Colorado are:
What are popular job titles related to Remote Ai Tasker jobs in Colorado? For Remote Ai Tasker jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Remote Ai Tasker jobs? Cities in Colorado with the most Remote Ai Tasker job openings:
Remote AI Research Scientist & Quantitative Trainer

Remote AI Research Scientist & Quantitative Trainer

DataAnnotation

Denver, CO • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr