Time since we first saw it
Day 155
Up longer than most. Similar jobs usually come down between day 3 and day 44.
From 270 similar postings that came down. Coming down is not always a hire.
Data Annotation Analyst
Taguig, NCR, Philippines
Open 5 months, first seen by us 155 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingSeeking detail-oriented specialists to support data annotation for a global technology platform.
Review, classify, and annotate data against defined policies and quality standards
Support spam, phishing, and mail abuse detection initiatives
Work across multiple tools, dashboards, and workflows at once
Identify anomalies and edge cases and escalate trends
Maintain accuracy, productivity, and SLA targets in a 24x7 environment
From the employer’s posting
Seeking detail-oriented specialists to support data annotation for a global technology platform. The role involves reviewing, labeling, and classifying datasets to support AI/ML models, abuse detection, and operational intelligence initiatives.
Review, classify, and annotate data as per defined policies and quality standards
Support spam, phishing, and mail abuse detection initiatives
Work across multiple tools, dashboards, and workflows simultaneously
Identify anomalies, edge cases, and escalate trends where required
Maintain accuracy, productivity, and SLA targets in a 24x7 environment
What you’ll bring
All qualificationsCore experience
- 1+ year in data annotation, data labeling, or Trust & Safety operations
- PDP score of Exceeds Expectations or Outstanding
- Tenure of at least 18 months
- Experience in a 24x7, multi-vendor environment
- Willing to work rotational shifts and onsite in Taguig
Qualification wording
1+ year experience in Data Annotation/Data Labeling/Trust & Safety operations
Must have PDP score of Exceeds Expectations or Outstanding
Tenure of at least 18 months
Experience working in a 24x7, multi-vendor environment is essential
Flexibility to work rotational shifts as required
About Sutherland
For each company, we provide new keys for their businesses, the people they work with, and the customers they serve.
In the employer’s words · Read in context
Posting record
Report an errorOpen 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026155 days ago
- Recorded sightings
- 534
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Sutherland is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
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About the role
We file this job under Data Operations, by the work the posting describes.
Data operations staff do the day-to-day work of getting data processed correctly: loading and checking files, moving records between systems, fixing errors and following set procedures.
Expect Excel, some SQL, close attention to detail, and knowledge of the particular systems the company runs.
Data governance sets the rules for the data; data operations does the hands-on work of processing it and keeping it moving.
Job description
Job Description
Role Overview
Seeking detail-oriented specialists to support data annotation for a global technology platform. The role involves reviewing, labeling, and classifying datasets to support AI/ML models, abuse detection, and operational intelligence initiatives.
Key Responsibilities
- Review, classify, and annotate data as per defined policies and quality standards
- Support spam, phishing, and mail abuse detection initiatives
- Work across multiple tools, dashboards, and workflows simultaneously
- Identify anomalies, edge cases, and escalate trends where required
- Maintain accuracy, productivity, and SLA targets in a 24x7 environment
Qualifications
- 1+ year experience in Data Annotation/Data Labeling/Trust & Safety operations
- Experience working in a 24x7, multi-vendor environment is essential
- Strong eye for detail and ability to comprehend detailed instructions
- Comfortable working across multiple tools and systems
- Strong analytical thinking and pattern recognition skills
- Flexibility to work rotational shifts as required
- Must have PDP score of Exceeds Expectations or Outstanding Tenure of at least 18 months
- No Active DA Interested candidates
- Must be willing to work onsite in Taguig
Additional Information
All your information will be kept confidential according to EEO guidelines.
Company Description
About Sutherland
Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise.
We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.
We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.
For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.
Sutherland
Unlocking digital performance. Delivering measurable results.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Taguig, NCR, Philippines
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.