Ted Tran: Email & Phone Number
Opt-OutPosition:
AI Code Annotator at DataAnnotation
Location:
Fairfax, Virginia, United States
Found email addresses for Ted Tran:
Found phone for Ted Tran:
A different Ted Tran?
Sign up to search for other Ted Tran's across our 850M+ professionals databaseWork Experience 4 years
Dec 2023 - Current
Jun 2025 - Aug 2025
Jun 2022 - Aug 2022
Their professional focus is Attention to Detail, Communication, and Conflict Resolution across 3 core areas.
Education
Bachelor of Science - BS at William & Mary
Frequently Asked Questions
What is Ted Tran's email address?
SignalHire found a verified business email address for Ted Tran: t***n@dataannotation.tech.What is Ted Tran's phone number?
SignalHire found a verified phone number for Ted Tran: +1-***-***-3181.How do I contact Ted Tran at DataAnnotation?
You can reach Ted Tran through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.What is Ted Tran's professional background?
Ted Tran has 4 years of professional experience. They have held roles including Software Engineer Intern, and Fulfillment Expert at companies such as Berkley Alternative Markets Tech, and Target. Their education includes Bachelor of Science - BS from William & Mary.Is Ted Tran's contact information up to date?
Yes. Ted Tran's SignalHire profile was last updated on 17 May 2026, reflecting their current position as AI Code Annotator at DataAnnotation in New York, NY, United States.
Other employees at DataAnnotation
Data Privacy
GDPR COMPLIANT
SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
CCPA COMPLIANT
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.
