Company: Cortech
Location: Remote (U.S. – Stephenville, TX, or Nationwide)
Salary: $34,880 per year (~$16.81 per hour)
Employment Type: Full-Time
Education Requirement: No Degree Mentioned
✅ Conversational & Empowering (for Work-From-Home Seekers & Career Changers)
You’re great with details. You
type fast. You love the idea of working from home.
Sound like you? Then this remote, full-time Data Annotator job with
Cortech might be your perfect fit. No long commutes. No complicated degree
requirements. Just solid work, great pay, and a chance to help power some of
the smartest AI systems out there.
Cortech partners with cutting-edge
industries to deliver clean, verified data to AI systems. That means every
dataset you annotate—every facility you verify, every ID you check—is helping
machines learn how to be more human. If you’re organized, self-motivated, and
looking for a way into the fast-growing world of AI without needing a
background in tech, this job is for you.
About Cortech
Cortech is a
well-established staffing and workforce solutions company that
connects job seekers with some of the best opportunities in technology,
administration, and data management. With a strong emphasis on remote work
and flexible employment, Cortech partners with leading businesses and
government agencies across the U.S. to help fill roles in AI-driven data
annotation, machine learning, healthcare data processing, and other
cutting-edge industries.
As businesses continue to rely on artificial intelligence and machine
learning technologies, the need for accurate, high-quality data annotation
has never been greater. This is where Cortech’s Remote Data Annotators play
a crucial role. By ensuring that datasets are properly labeled, validated,
and structured, annotators contribute directly to the development of AI
models used in healthcare, finance, automation, and more.
This full-time, work-from-home position offers a stable salary, weekly pay,
and valuable experience in AI-driven industries. If you have a keen eye for
detail, strong typing skills, and the ability to work independently, this is
a fantastic opportunity to join the fast-growing field of data science and
artificial intelligence support.
Job Overview
Cortech is currently hiring Remote Data Annotators who will be
responsible for matching, verifying, and labeling data to ensure
accuracy within large datasets. The work involves going line by line through
datasets, verifying facility locations, and ensuring that client account IDs
are correctly assigned. Since AI models rely heavily on precisely labeled
and structured data, your role will directly impact the effectiveness of
AI-based decision-making systems.
A typical day in this role involves validating customer data,
cross-referencing records from different databases, searching the web for
missing information, and flagging discrepancies. The position also requires
reviewing healthcare facility data to confirm that records are correctly
linked and that any incorrect or outdated information is updated.
If you have experience with data entry, research, or working with
structured data in any capacity, this role offers a great way to gain
hands-on experience in AI-driven industries. No prior experience with
machine learning or AI is required—only a high level of accuracy, attention
to detail, and the ability to follow structured annotation guidelines.
Key Responsibilities
🔹
Data Validation & Entry – As a Data Annotator, you will be
responsible for reviewing customer data across multiple platforms,
identifying discrepancies, and making accurate corrections. You will work
with large datasets that contain client information, such as facility names,
addresses, and unique identifiers, and ensure that all records are correctly
labeled.
🔹
Annotation & Record Maintenance – Your daily tasks will involve
entering, sorting, and reviewing data using company-provided tools. You’ll
be required to annotate datasets by tagging specific details, classifying
information, and ensuring that AI training models receive high-quality input
data. This process will require a combination of manual data review and
research to ensure accuracy.
🔹
Quality Control & Troubleshooting – Since data accuracy is
crucial in AI development, you will play a key role in identifying errors,
flagging inconsistencies, and verifying that all updates follow company
standards. You may be required to communicate discrepancies to supervisors,
track issues in a log file, and ensure that every dataset meets strict
quality control guidelines.
🔹
Web Research & Cross-Referencing – In cases where data is missing
or unclear, you will be expected to search the web for additional
information. This may involve verifying addresses, double-checking
healthcare facility names, or looking up external sources to confirm the
validity of data points.
🔹
Following Annotation Guidelines – AI-based applications require
strict labeling criteria, and you will need to ensure that your work aligns
with the provided annotation guidelines. Every dataset must be processed in
a structured, consistent manner to maintain quality across all
projects.
Required Skills & Qualifications
| Skill/Qualification | Requirement |
|---|---|
| ✅ Experience in Data Entry | 1+ year preferred (but not required) |
| ✅ Typing Speed & Accuracy | Strong typing skills (50+ WPM ideal) |
| ✅ Attention to Detail | High precision in data review & validation |
| ✅ Organizational Skills | Ability to handle large datasets effectively |
| ✅ Familiarity with AI & Data Management | A plus but not mandatory |
| ✅ Self-Motivation | Ability to work independently with minimal supervision |
📌
Preferred but Not Required:
✔
Experience in data annotation, AI training, or structured data processing
✔
Background in healthcare, finance, or large-scale database management
✔ Prior
work in data validation, proofreading, or research-based roles
Compensation & Benefits
💰
Annual Salary: $34,880 per year (~$16.81/hour)
📅
Weekly Pay – Get paid every week!
🏡
Fully Remote – Work from anywhere in the U.S.
📈
Career Growth Opportunities – This role offers a
stepping stone into AI, machine learning, and data science.
💻
Work with Advanced AI Tools – Gain hands-on experience with
cutting-edge AI-driven software for data processing.
Why Is This Role Exciting?
1. Gain Experience in AI & Data Science – If you’ve ever been
curious about AI, data science, or machine learning, this is a great way to
get started. You’ll work directly with AI-driven datasets, gaining
real-world experience in a field that’s growing rapidly.
2. Fully Remote with a Stable Salary
– Enjoy the flexibility of working from home while still receiving weekly
pay and a stable full-time salary. No need to commute—work from anywhere in
the U.S. and set your own schedule.
3. Perfect for Entry-Level Professionals
– No prior experience with AI or machine learning is needed. If you have
strong attention to detail and good data entry skills, you can excel in this
role and build a career in data annotation.
4. No College Degree Required
– Unlike many tech jobs, this position doesn’t require a formal degree. As
long as you have accuracy, focus, and the ability to work with structured
data, you’re encouraged to apply.
How to Apply?
📩
Submit Your Application Today!
Apply via:
-
Rise - Rise - Jobs
-
Jooble
-
Career.com
-
GrabJobs
-
JobLeads
-
Talentify
-
Learn4Good
✅
Application Requirements:
✔
Resume highlighting relevant experience
✔
(Optional) Cover Letter explaining your data entry background
✔
(Optional) Typing Speed Test Results to demonstrate accuracy
📢
Don’t miss out on this opportunity to work in AI-driven data processing!
Apply today and start your career in data annotation.