- Erfahrung
- Beliebig
- Gehalt
- USD 15 – USD 20 / hour
- Stellenangebote
- 1
- Veröffentlicht
- vor 1 Stunde
- Arbeitsmodus
- Arbeiten von zu Hause
- Ausbildung
- Jeder Absolvent
- Teilnahmeberechtigung
- Applicants from the United States who can work remotely and are comfortable handling repetitive, detail-oriented labeling tasks can apply. No degree or prior annotation background is required.
- Wieder aufnehmen
- Bewerbung erforderlich
Stellenbeschreibung
About the company
NoGigiddy is an online platform designed for people earning outside the standard 9-to-5 model, including gig workers, side hustlers, and others looking for flexible income options. The platform brings together remote jobs, surveys, clinical trials, gig platforms, and financial tools in one free-to-access place.
Role overview
This opening is for a Data Annotator to support AI model training. The work involves reviewing and marking up text, images, audio, and video so machine learning systems can learn from accurately labeled data. Prior experience in tech or annotation is not necessary; what matters most is careful attention to detail and the ability to follow instructions consistently.
Key responsibilities
In this role, you will help prepare datasets for AI training by applying labels and categories accurately. You will also identify unclear or sensitive content for escalation, stay aligned with quality standards, and complete work within assigned timelines.
Additional information
Location is listed as Atlanta, Georgia, United States, and Long Beach, California, United States, with the workplace set as remote. The department is remote work. Equal opportunity hiring applies, and the company notes a commitment to diversity and inclusion.
Compensation and work setup
The position pays $15 to $20 per hour. It is fully remote across the United States and offers flexible scheduling within project windows. No prior experience is required, and training is provided for each task type. The role also offers access to a broader network of earning opportunities and a steady flow of AI training assignments.