$80 - $100/hr
Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...
$80 - $100/hr
Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...
Electrical Testing Technician
Overland Park, KS · On-site +1
Traveling/Remote Electrical Testing Technician Field Operations | Nationwide Travel Are you an ... shared storage, data entry into spreadsheets and reporting tools * Apply arc flash labels to ...
Electrical Testing Technician
Overland Park, KS · On-site +1
Traveling/Remote Electrical Testing Technician Field Operations | Nationwide Travel Are you an ... shared storage, data entry into spreadsheets and reporting tools * Apply arc flash labels to ...
Data Labeler Remote information
Is data labelling a good career?
Data labeling is an entry-level role that involves annotating data for machine learning models, often requiring attention to detail and basic technical skills. It can provide a stepping stone into the tech industry, but it typically offers limited advancement opportunities and lower pay compared to other tech roles. Many workers use it as a temporary job or to gain experience in data-related fields.
What are the key skills and qualifications needed to thrive as a Data Labeler Remote, and why are they important?
To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.
How can I make 2000 a week working from home?
A remote data labeler can potentially earn around $2000 per week by working full-time hours, often requiring consistent effort, accuracy, and familiarity with labeling tools. Increasing earnings may involve taking on multiple projects, improving efficiency, or gaining specialized skills in data annotation. However, most remote data labeling jobs pay hourly or per task, so reaching this income level typically requires high productivity and experience.
What are some common challenges faced by remote data labelers and how can they be managed?
Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.
How to make $1000 a week remote?
A remote data labeler can increase earnings by working multiple projects, improving efficiency, and gaining experience with popular tools like labeling platforms and annotation software. Earning $1000 weekly typically requires consistent full-time work, high-volume projects, or specialized skills that command higher pay rates. Building a strong reputation and seeking higher-paying opportunities can also help reach this income level.
What does a remote data labeler do?
A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.
How much does a data labeler make?
Data labelers typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Remote data labeling jobs often pay hourly or per project, with some roles offering additional benefits or flexible schedules.
What is the difference between Data Labeler Remote vs Data Annotator Remote?
| Aspect | Data Labeler Remote | Data Annotator Remote |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote, flexible hours | Remote, flexible hours |
| Industry Usage | Common in AI/ML data preparation | Common in AI/ML data preparation |
| Job Focus | Labeling data points for machine learning | Annotating data for training AI models |
Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.
What are the most commonly searched types of Data Labeler jobs in Kansas? The most popular types of Data Labeler jobs in Kansas are:
What are popular job titles related to Data Labeler Remote jobs in Kansas? For Data Labeler Remote jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Labeler Remote jobs in Kansas look for? The top searched job categories for Data Labeler Remote jobs in Kansas are:
What cities in Kansas are hiring for Data Labeler Remote jobs? Cities in Kansas with the most Data Labeler Remote job openings:
$80 - $100/hr
Other
Medical, Dental, Vision, Retirement, PTO
Posted 11 days ago
Job description
Array is a financial innovation platform that helps digital brands, financial institutions, and fintechs get compelling consumer products to market faster. We deliver a suite of credit and identity monitoring tools, privacy protection, and a financial ads marketplace via embeddable widgets or a clean, modern API. Our private label offerings help drive revenue and increase engagement for our customers while empowering millions of consumers to achieve their financial goals.
As a remote-first company, we're focused on providing opportunities for high performing individuals to have deep impact in the fast growing fintech space. A clear mission, a commitment to continuous improvement and a willingness to experiment empower us individually and together deliver the best products for our clients and users.
The Senior Software Engineer - Front End at Array will play a key role in shaping and elevating our front-end engineering practice. This role focuses on delivering high-quality, scalable implementations while contributing to the standards, patterns, and tooling that guide our broader engineering organization. You'll report to an Engineering Manager and work within a squad responsible for one of our product areas, driving both hands-on development and technical influence across teams.
This role will start as a contract role for a 180 probationary period before converting full time.
This role is fully remote; however, we are prioritizing candidates located in Denver, Colorado due to strong alignment with the Svelte technical talent market for this role.
You Will- Join an engineering organization filled with sharp engineers with a track record of building products used by millions.
- Work with a squad of engineers to build high-quality Svelte Web Components that support white-label integration and can be fully customized through our theme editor, running reliably across desktop and mobile environments.
- Collaborate closely with Product Design to extend and evolve our design system, ensuring components are consistent, scalable, and adaptable across partners and branding contexts.
- Use modern tooling, including the latest AI, to think, build, and ship faster with less toil.
- Help ensure the reliability and availability of the components you build, including participating in an on-call rotation with your squad.
- Conceptualize and deliver front-end solutions with support and guidance from our Principal Engineers and Engineering Managers.
- Become an emerging expert in modern web standards, Web Component architecture, front-end performance, accessibility, design-system-driven development, and scalable component patterns.
- Spend the majority of your time building solutions rather than talking about them.
- 6+ years of professional software development experience.
- Strong proficiency in TypeScript, HTML, and CSS, including accessibility best practices.
- Experience building applications with modern JavaScript frameworks such as Svelte, React, or Vue.
- Experience developing mobile applications using Kotlin and/or Swift.
- 4+ years of experience building embeddable UI components that partners can integrate independently without direct engineering coordination covering white labelling and accessibility.
- 2+ years of experience building production-ready Web Components, including embedding components into third-party desktop or mobile application environments and understanding the constraints that come with externally hosted integration.
- A bias towards action. You have a proven track record of delivering solutions in a fast-paced environment.
- Meaningful experience contributing to design systems, including building reusable components, defining tokens, and managing shared state patterns across complex UI surfaces.
- Experience with modern front-end tooling, build systems, component-driven architecture, and practical state management patterns that support predictable and maintainable UI behavior.
- Experience consuming APIs backed by relational or document data sources, with a clear understanding of how frontend systems shape, model, and present that data.
- A portfolio or collection of work that demonstrates strong frontend craftsmanship, component design, and attention to detail.
$80-$100/hr for the 180 day period.
Expected interviewsRecruiter conversation - Technical Interview - Loop: Engineering Leadership Interview, How We Work Interview.
Array Offers All Full Time Employees the following Benefits and Perks:- Full medical, dental, and vision, premiums covered at 100% for full-time employees and 70% for dependents
- Unlimited PTO and sick leave + 14 company holidays to encourage a healthy work-life blend
- 100% 401k match up to 4% with immediate vesting
- Generous and competitive parental leave for all parents
- $1,000 desk setup subsidy to set-up your unique remote office
- $100/month to subsidize wifi/cell phone expenses
- Summer Fridays (half-day Fridays) typically from late May to the end of August
- Commuter benefits for those who choose to go into our New York City or San Francisco office spaces
Not sure if you meet the Qualifications? We know that folks tend to only apply if they check every box. If you think you have the appropriate qualifications, but don't meet every single one, we encourage you to still apply. We'd love to hear from you.
We are proud to be an equal opportunity workplace; we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Array will provide reasonable accommodations to qualified applicants-if you need an accommodation to participate in the application or interview process, please email talent@array.com to make your request.
Array uses CLEAR to conduct identity verification as part of the application process. We encourage you to review CLEAR's Privacy Notice and Terms of Use to understand how your personal data will be processed.