1

Contract Ai Data Annotation Jobs in Oregon (NOW HIRING)

... skilled AI-assisted financial content writer. This role will be on a contract basis and we are ... Write a few paragraphs of reaction to the data provided with insight for readers that reflects our ...

New

Support data annotation and quality validation activities * Maintain accurate operational records ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Support data annotation and quality validation activities * Maintain accurate operational records ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Lead Data Scientist

OR · On-site +1

Data annotation and quality review * Exploratory data analysis and model fail state analysis ... We use the latest in AI/ML technology to help our customers break new ground at scale. We are a ...

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Document experimental findings and processes with a focus on clarity for AI training data ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Collaborate with the annotation team to improve data quality, labeling practices, and machine ... Experience using AI-assisted development tools thoughtfully to improve productivity, quality, and ...

New

next page

Showing results 1-20

Contract Ai Data Annotation information

What is a contract AI data annotation?

A Contract AI Data Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train artificial intelligence (AI) and machine learning models. As a contractor, you'll work on specific projects for a set period, rather than as a full-time employee. The work is detail-oriented and may involve tasks like categorizing objects in photos, transcribing audio, or marking up text for sentiment or intent. This role is crucial in ensuring that AI systems learn accurately and perform well. Contract AI data annotators often work remotely and may be paid by the hour or per task.

What are the key skills and qualifications needed to thrive as a contract AI data annotation specialist?

To thrive as a Contract AI Data Annotation Specialist, you need attention to detail, familiarity with data labeling concepts, and at least a high school diploma or relevant experience. Proficiency with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as basic understanding of data formats, is typically required. Strong communication, time management, and the ability to follow precise guidelines help you excel in this role. These skills ensure accurate, high-quality datasets that are critical for training effective AI and machine learning models.

What are some common challenges faced by contract AI data annotators, and how can they be addressed?

Contract AI data annotators often encounter challenges such as maintaining consistency across large datasets, understanding complex labeling guidelines, and meeting tight project deadlines. To address these, it's important to thoroughly review project documentation, participate in onboarding or training sessions, and communicate proactively with project managers or team leads when questions arise. Leveraging annotation tools efficiently and seeking feedback on your work can also help improve accuracy and productivity, making it easier to adapt to varying project requirements.

What is the difference between Contract Ai Data Annotation vs Data Labeler?

AspectContract Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, project-based
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI trainingLabeling data for AI models

Contract Ai Data Annotation and Data Labeler roles are similar, both involve preparing data for AI systems. However, Contract Ai Data Annotation often encompasses a broader range of annotation tasks and may require familiarity with specific tools or platforms. Both roles are essential in AI development and are commonly found in tech industries, with similar work environments and credential requirements.

What are the most commonly searched types of Ai Data Annotation jobs in Oregon?

The most popular types of Ai Data Annotation jobs in Oregon are:

What are popular job titles related to Contract Ai Data Annotation jobs in Oregon?

For Contract Ai Data Annotation jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Contract Ai Data Annotation jobs in Oregon look for?

The top searched job categories for Contract Ai Data Annotation jobs in Oregon are:

What cities in Oregon are hiring for Contract Ai Data Annotation jobs?

Cities in Oregon with the most Contract Ai Data Annotation job openings:

Contract AI Investing Content Writer

The Motley Fool

OR • On-site, Remote

Full-time

Posted 3 days ago

New


Job description

The Motley Fool is looking for a highly skilled AI-assisted financial content writer. This role will be on a contract basis and we are looking for someone who can commit a minimum of 15 hours per week.

This contract opportunity is flexible and 100% remote, but candidates must reside in the United States for consideration. 

Who are We?

The Motley Fool is a purpose-driven financial services company on a mission to make the world smarter, happier, and richer. For 30 years we've been helping people make better investment decisions through transparency, education, and Foolish fun. We're a fast-moving, collaborative team that values high-quality work, curiosity, and initiative. We care deeply about what we do, and we're driven by the impact our work has on real people's financial futures.

What does this team do?

The Fool.com editorial team works to provide informative and impactful investor-driven content for our readers. It's important to us that this content is not only Foolishly insightful, but also accurate, and that's where you'll come in. 

What Will You Do in This Role?

You will review, write and publish hundreds of articles each month with the assistance of AI. You will navigate our content management system where we will have articles waiting based on recent news events like insiders buying or selling shares, a company paying a dividend, or having recently filed earnings. 

Our AI engine will have assembled all of the salient details and figures into the document for you to review. You will perform a quick fact check, and then write 150-300 words of Foolish context that guides readers through how to contextualize this information. If the CEO sells $400 of stock in a planned sale... not a big deal. If they cut their shares by 70% right before earnings, that's something investors should pay attention to. We're looking to you for critical context! 

You must be financially savvy, interested in investing, self motivated, have attention to detail, and understand the principles of Foolish investing (buy great companies, hold them for the long run, and be optimistic). And if you've got a passion for LLMs and AI technologies - even better.

Okay, but what will you actually do in this role?

  • Navigate our CMS to review AI-generated article drafts
  • Perform a quick fact check to ensure the facts are accurate
  • Write a few paragraphs of reaction to the data provided with insight for readers that reflects our investing principles. Help them understand if this news event is meaningful, noise, or something in between.
  • Edit AI-generated content for accuracy, clarity, and substance (not copyediting!)
  • Provide substantive feedback based on your edits and observations so our prompt engineers can improve the outputs

Required Experience: 

  • A solid understanding of financial concepts, terminology, and the global financial landscape. 
  • Strong grasp of Foolish investing principles and our brand voice. 
  • Experience in journalism, editing, or related fields, with a strong grasp of news writing, AP style, and journalistic ethics.
  • Proficiency in fact-checking methodologies and techniques to verify information, data, and sources used in financial articles.
  • Strong research skills to gather information from various sources, databases, and financial reports to support fact-checking and editing tasks.
  • Familiarity with digital tools, fact-checking software, content management systems (CMS), and other technology used in financial publishing.
  • Excellent written and verbal communication skills to interact with writers, editors, and stakeholders.
  • The ability to work under deadlines and manage multiple tasks efficiently.
  • Understanding of LLMs and AI tools and familiarity on reading and interpreting a prompt