... annotation) • Perform data validation, regression testing, and discrepancy analysis • Develop ... AWS/Google Cloud Platform/Azure) and data pipelines • Strong problem-solving and communication ...
... annotation) • Perform data validation, regression testing, and discrepancy analysis • Develop ... AWS/Google Cloud Platform/Azure) and data pipelines • Strong problem-solving and communication ...
Google Annotation information
See Valley Center, CA salary details
$53.4K is the 25th percentile. Wages below this are outliers.
$48.7K - $53.9K
27% of jobs
The median wage is $57.7K / yr.
$53.9K - $59K
31% of jobs
$61.8K is the 75th percentile. Wages above this are outliers.
$59K - $64.2K
32% of jobs
$64.2K - $69.4K
4% of jobs
$69.4K - $74.5K
0% of jobs
$74.5K - $79.7K
0% of jobs
$79.7K - $84.9K
0% of jobs
$84.9K - $90K
1% of jobs
$90K - $95.2K
2% of jobs
$95.2K - $100.3K
0% of jobs
$100.3K - $105.5K
3% of jobs
$48.7K
$63.2K
$105.5K
How much do google annotation jobs pay per year?
What is a Google Annotation?
A Google Annotation job involves labeling, tagging, or categorizing data—such as images, videos, or text—to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in their work. This role is crucial for improving AI systems used in search, automation, and recognition technologies. The job may require attention to detail and familiarity with different annotation tools.
What does a typical day look like for someone working in Google Annotation?
As a Google Annotation Specialist, your day often involves reviewing and labeling large volumes of data—such as images, text, or audio—according to specific project guidelines. You will work both independently and in collaboration with quality assurance teams to ensure consistency and accuracy in your annotations. Regular feedback sessions and periodic revisions are common as project requirements evolve. Many teams work in a fast-paced, deadline-driven environment, and attention to detail is key to meeting quality standards and supporting vital AI initiatives.
What are the key skills and qualifications needed to thrive in the Google Annotation position, and why are they important?
To thrive as a Google Annotation Specialist, you need strong attention to detail, analytical skills, and a basic understanding of data labeling principles, often supported by a background in computer science or related fields. Familiarity with annotation tools such as Labelbox, internal Google platforms, and spreadsheet software is typically required. Strong communication, time management, and the ability to follow detailed guidelines make candidates stand out in this position. These skills and qualities are vital to ensure high-quality labeled data, which is essential for training accurate machine learning models and supporting AI development.
What cities near Valley Center, CA are hiring for Google Annotation jobs?
Cities near Valley Center, CA with the most Google Annotation job openings:

Urgent Hiring - Bioinformatics Pipeline Test Engineer
San Diego, CA • On-site
Other
Posted 8 days ago
Job description
Job Title:
Bioinformatics Pipeline Test Engineer
(Healthcare Domain)
Location
2+ Years of exp
Hire Type (FTE/Contract):
6 Months
-
Bioinformatics OR Genomics
-
NGS OR "Next Generation Sequencing"
-
VCF OR BAM OR FASTQ
-
Python
-
Testing OR QA OR "Quality Engineer" OR Validation
-
Git
Role Overview
We are seeking a Bioinformatics Test Engineer to validate and ensure the quality of NGS data pipelines and bioinformatics workflows. The role requires a strong blend of bioinformatics knowledge, QA expertise, and automation skills.
Key Responsibilities
• Design and execute testing strategies for NGS pipelines (alignment, variant calling, annotation)
• Perform data validation, regression testing, and discrepancy analysis
• Develop automated test scripts (Python)
• Translate requirements into test cases and validation criteria
• Work with CI/CD pipelines and cloud-based workflows
• Collaborate with cross-functional teams to ensure data accuracy and reliability
Required Skills
• Strong understanding of NGS workflows (FASTQ, BAM, VCF)
• Experience in bioinformatics pipeline testing or QA
• Proficiency in Python scripting
• Hands-on with Git and CI/CD tools
• Experience with cloud platforms (AWS/Google Cloud Platform/Azure) and data pipelines
• Strong problem-solving and communication skills
Preferred
• Experience in biotech/life sciences domain
• Familiarity with Nextflow, Snakemake, or similar workflows
• Exposure to regulated environments (CLIA/FDA)
What We’re Looking For
• Strong testing mindset + hands-on engineering skills
• Ability to debug pipelines and explain thought process clearly
• Experience with real-world data workflows (not just academic projects)
• Mentions NGS pipelines + testing together
• Has Python + Git + CI/CD
• Mentions variant calling / VCF validation
• Worked on cloud or production pipelines
Reject or deprioritize if:
• Only academic bioinformatics (no testing/QA)
• Only statistics validation (no system testing)
• No Python or automation
• No infra experience (cloud / CI/CD / DB)
• Only local scripts, no real pipelines
Other High Priority Keywords
-
Variant Calling
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Pipeline Testing
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Regression Testing
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Test Strategy OR Test Case Design
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Data Validation
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Golden Dataset OR Reference Dataset
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CI/CD OR "GitHub Actions" OR GitLab OR "Azure DevOps"
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AWS OR S3 OR Cloud
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Nextflow OR Snakemake OR WDL OR Cromwell
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Automation Testing