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Wastewater Instructor - Remote

Newark, NJ · On-site +1

$16.50 - $19.50/hr

Background in engineering-adjacent fields, skilled trades, or applied sciences * Qualifications may ... Type: Part-Time Schedule: Under 20 hours per week Availability on weekdays and/or weekends Morning ...

Kirsch CPA Group

Part-Time Payroll Specialist

Hamilton, OH · On-site +1

$24 - $30/hr

Eligible employees have the opportunity to participate in our Employee Stock Ownership Plan / ESOP ... Support multi-state payroll and remote employee payroll compliance * Prepare and support payroll ...

Pronghorn

Part-Time Sales Manager - NYC

New York, NY · On-site +1

$35 - $40/hr

Remote, Based in New York City Start Date: ASAP Role Overview Our partner is a modern African ... Develop and implement territory-level sales plans for NYC on and off-trade accounts. * Identify new ...

Web3 Talent Collective

Generalist Web3 Engineer

$70K - $400K/yr

... Remote / FULL-TIME / PART-TIME About web3 Talent Collective Are you looking to be a part of the ... trading, NFT platforms, and P2E games. Roles and responsibilities may involve any of the below:

Certus

HVAC/Electrical Instructor Part-Time

Charlotte, NC · On-site +1

$475 - $600/day

We choose to be a remote workforce so we can hire top talent regardless of location - all while ... Field experience as an Industrial Maintenance Technician or Skilled Trades Training: 10 years.

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How much do part time remote stock trading jobs pay per year?

As of Jul 4, 2026, the average yearly pay for part time remote stock trading in the United States is $192,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $285,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Remote Stock Trading jobs? The most popular types of Remote Stock Trading jobs are:
Part Time Remote Stock Trading jobs near you
Generative AI Associate - Flexible Hours

Generative AI Associate - Flexible Hours

Innodata Inc.

Remote

$15/hr

Full-time, Part-time

Posted 9 days ago

Job description

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
At Innodata, we're partnering with the world's leading technology companies to build the future of generative AI and large language models (LLMs). We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It's a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact-on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You'll be helping LLMs learn the intricacies of language and reasoning-not just how to write, but how to think. If you've ever dreamed of shaping the intelligence behind tomorrow's technology, this is your chance.
This is more than just a gig-it's a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You'll Own:
  • Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
  • Labeling elements of a piece of content rather than the content as a whole.
  • Assigning predefined categories or labels to items.
  • Evaluating the perceived quality and/or appropriateness of content
  • Generating labels to advance understanding of a concept, trend etc.
  • Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
  • Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
  • Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
  • Ordering or ranking items based on a set of preferences or criteria.
  • Creating prompts or questions that will be used to generate responses from a language model or other AI system.
  • Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
  • Generating responses to prompts or questions using a language model or other AI system.
  • Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
  • Producing concise summaries of longer pieces of text or data.
  • Converting spoken language or audio content into written text.
  • Converting text or spoken language from one language to another.
  • Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.

You'll Thrive in This Role If You Have:
  • A Bachelor's degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master's or PhD)
  • Professional or Expert level proficiency (C1/C2) in English

The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at https://consumer.ftc.gov/articles/job-scams.
If you believe you've been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.

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