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About Fidel Softech
Fidel Softech is expanding its global network of AI Data Annotation & Transcription Specialists for freelance and contract-based projects. The opportunity is designed for experienced transcriptionists, linguists, data annotation professionals, and language specialists interested in remote AI and machine learning projects.
Job Details
Company: Fidel Softech
Position: AI Data Annotation & Transcription Specialist
Job Type: Freelance / Contract
Work Mode: Remote / Work From Home
Experience: 2+ years preferred
Compensation: Competitive / Project-Based
Work Arrangement: Project-Based Assignments
Job Summary
Selected professionals may work on multilingual transcription, speech data processing, AI data labeling, and other data preparation projects for global clients.
The role can include transcription of audio and video files as well as annotation of text, audio, image, and video datasets used for AI and machine learning applications.
Key Responsibilities
Transcription Services
- Transcribe audio and video files accurately.
- Prepare verbatim or clean transcripts according to project requirements.
- Add timestamps when required.
- Maintain quality, consistency, and confidentiality.
- Perform transcription quality checks.
AI Data Annotation
- Annotate text, audio, image, and video datasets.
- Perform image labeling using bounding boxes, polygons, and segmentation.
- Label speech, conversations, and text according to project guidelines.
- Review and validate annotated datasets.
- Maintain high-quality standards across assigned projects.
Required Skills & Qualifications
Transcription Skills
Experience with:
- Audio transcription
- Video transcription
- Timestamping
- Captioning and subtitling
- Transcription quality assurance
Knowledge of tools such as Express Scribe, Aegisub, or other professional transcription software is beneficial.
Data Annotation Skills
Experience or interest in:
- Text Annotation
- Audio Annotation
- Image Annotation
- Video Annotation
- Bounding Boxes
- Polygon Annotation
- Semantic Segmentation
- Named Entity Recognition (NER)
- AI Data Labeling
Language Requirements
Candidates should have:
- Native proficiency in at least one language.
- Working knowledge of one or more additional languages.
- Strong grammar and spelling skills.
- Strong listening and language comprehension abilities.
Availability Requirements
Applicants may be asked to provide information regarding:
- Daily or weekly availability.
- Number of working hours available per day.
- Average transcription output in audio minutes/hours per day.
- Daily annotation capacity based on previous experience.
Who Can Apply?
This opportunity may be suitable for:
- Professional transcriptionists
- Freelance linguists
- Data annotation specialists
- AI data labeling professionals
- Language experts
- Students and graduates with strong language skills
- Experienced remote freelancers
Benefits & Opportunities
- Flexible remote work opportunities.
- Freelance projects with global clients.
- Competitive project-based compensation.
- Opportunity to work on AI and machine learning projects.
- Potential for long-term collaboration.
- Projects across multiple languages and domains.
Skills to Bring
Audio Transcription | Video Transcription | Timestamping | Captioning & Subtitling | AI Data Annotation | Text Annotation | Image Annotation | Quality Assurance
How to Apply
Applicants can register by providing information about their transcription experience, data annotation expertise, language proficiency, availability, and project capacity.
Apply Now:
https://sunrift-adventures.jobsoid.com/apply/137110
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Frequently Asked Questions
Q1. What is the job position?
The opportunity is for AI Data Annotation & Transcription Specialists.
Q2. Is this a remote job?
Yes. The opportunity is offered on a freelance/contract basis with remote work options.
Q3. What type of work is involved?
Projects may include audio and video transcription, text annotation, image labeling, speech annotation, and AI data labeling.
Q4. Is prior experience required?
The listing indicates 2+ years of experience, particularly in transcription or data annotation, as preferred experience.
Q5. Can students and graduates apply?
Yes. Students and graduates with strong language skills may also be suitable for relevant projects.
Q6. Is the work full-time?
No. This is a freelance/contract and project-based opportunity with flexible availability.
Q7. How can I register?
Use the application link above to submit your details and join the network for upcoming projects.
