New York, NY · Remote
$75 - $100/hr
Fully remote within the US. * Documentation and the playbook are important deliverables * Expect a ... Real experience running data operations with a human-in-the-loop or annotation component ...
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New York, NY · Remote
$75 - $100/hr
Fully remote within the US. * Documentation and the playbook are important deliverables * Expect a ... Real experience running data operations with a human-in-the-loop or annotation component ...
$16.78 - $19
5% of jobs
$19 - $21.21
10% of jobs
$23.32 is the 25th percentile. Wages below this are outliers.
$21.21 - $23.43
11% of jobs
$23.43 - $25.65
2% of jobs
$25.65 - $27.86
17% of jobs
The median wage is $30.08 / hr.
$27.86 - $30.08
5% of jobs
$30.08 - $32.29
10% of jobs
$32.29 - $34.51
11% of jobs
$35.42 is the 75th percentile. Wages above this are outliers.
$34.51 - $36.73
12% of jobs
$36.73 - $38.94
11% of jobs
$38.94 - $41.16
7% of jobs
$16
$30
$41
To thrive in a Remote Annotation role, you need meticulous attention to detail, strong analytical skills, and the ability to quickly learn and apply specific data-labeling guidelines. Familiarity with annotation tools such as Labelbox, Supervisely, or CVAT and, in some cases, basic knowledge of machine learning concepts or relevant certifications are valuable. Excellent written communication, time management, and the capacity to work independently make a candidate stand out. These abilities ensure high-quality, consistent data labeling crucial for the success of AI and machine learning projects.
Remote annotation professionals often encounter challenges such as interpreting ambiguous data, maintaining consistency with guidelines, and managing repetitive tasks without direct supervision. Working remotely also means you need to stay self-motivated and disciplined while communicating clearly with project managers and team members through digital platforms. Adapting to updates in annotation protocols or tool changes can require flexibility and ongoing learning. However, overcoming these challenges can help you develop a highly sought-after skill set and pave the way for advancement into roles such as quality assurance or data analyst positions within the machine learning field.
A Remote Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in the data. This work is typically done from home using specialized annotation tools provided by companies or platforms. It is commonly used in AI development, including natural language processing, computer vision, and autonomous systems.
$75 - $100/hr
Part-time
This job post has expired today. Applications are no longer accepted.
Project Healthy Minds is a mental health nonprofit that runs like a tech startup. We are pioneering a first-of-its-kind model: applying technology to address one of the biggest social issues of our time: the growing mental health crisis. We believe in a simple but profound idea: that it should be as easy to find mental health services as it is to book a flight or a restaurant reservation. That's why we're building the world’s first digital marketplace for finding mental health services that are right for you.
To do that, we work with some of the most inspiring and influential leaders in America - business titans, tech entrepreneurs, clinicians and scientists, musicians, artists, athletes, media stars, policymakers, and more - because we believe that the world's most complex challenges require interdisciplinary teams and solutions.
We are backed by a powerhouse of industry-leading Board of Directors and Advisory Council Members who are passionate, hands-on, and dive into the important work with us.
Learn more at projecthealthyminds.com and @projecthealthyminds on social.
About The RoleWHAT WE'RE LOOKING FOR
We're hiring a Services Data Lead to build a new set of mental health services for our platform, on a focused six-month engagement.
We already have a schema and a curation pipeline, but are looking to upgrade both as we expand the depth and breadth of services we list on our platform.
You'll consider the tradeoffs for the information users want and the challenges of acquiring/keeping it fresh, overseeing the candidacy -> screening -> tagging pipeline, direct a small bench of specialists, and work across product, engineering, and our service partners to measurably improve the platform’s offerings. You'll leave behind a documented, repeatable process, not just a better dataset. (We'll walk you through the specific scope and priorities during the process.)
This is a great opportunity for someone passionate about mental health to help expand our platform offering and upgrade our operations in the process.
ENGAGEMENT & COMPENSATION
WHAT YOU'LL DO
• Steward and evolve the services data schema & taxonomy. It’s poised to expand and change. You'll provide input about what to add, what to shift, and what these changes costs us to source and maintain — with judgment about how the data actually gets consumed downstream.
• Own and iterate the curation pipeline. Sourcing, screening, and tagging. Make it better, faster, and (with the help of our engineering team) more automated.
• Direct a small bench of data specialists. Set the quality bar, write the SOPs, and oversee the team to build out a substantial batch of services.
• Work at the nexus of design, product, engineering, and service partners. You’ll liaise with multiple departments to identify the highest-value fields, refine candidacy review processes, and collaborate on how data is presented to users in the platform.
• Advise on internal tooling. You'll be the sharpest user of our admin, ingestion, dedup, and QA workflows – work with our team to identify the most impactful improvements we can make.
• Document the playbook. Transferable and clear — good enough that whoever inherits this doesn't have to reverse-engineer your thinking.
WHAT YOU'LL BRING
Must-Haves:
• A working understanding of healthcare services data — ideally mental health specifically. You’ll need a sense for what consumers need to know prior to making a decision, where that data comes from, and how frequently it changes.
• Strong data-schema and data-modeling judgment. You've evolved schemas that survived contact with reality, and you have opinions about what not to add. Fluent in Postgres/SQL.
• Instinct for how data fits into a product — you reason from who consumes the data backward to what and how to supply it.
• Real experience running data operations with a human-in-the-loop or annotation component, including directing distributed specialists to a quality bar.
• You've owned KPIs for data accuracy and freshness — and can walk us through how you moved them.
• Quality-systems and taxonomy thinking; you write the SOP, you don't just follow it.
• Comfortable working across product, engineering, and external partners.
• Comfortable moving fast with limited scaffolding.
Nice-to-Haves:
• AI- / LLM-assisted curation workflows.
• HL7, FHIR, or other health-data interoperability standards.
• Experience building or maintaining a services dataset or provider directory
The hourly rate for this role is between $75 and $100, depending on experience, skills, and other relevant considerations.
Due to the high volume of applications received, only those selected for an interview will be contacted.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Internet and it
11 - 50 Employees
New York, NY, US
2020