Remote Computer system validation Jobs – 110 Open Jobs Today

QA Tester – AI Observability & Monitoring
TestUnity —Remote
- ₹1,000 - ₹1,200 an hour
- Remote
- Computer Science
- Master's degree
- SQL
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6h
Senior Python Developer
TECH NEXT —Remote
- ₹80,000 - ₹1,00,000 a month
- Full-time
- Remote
- Computer Science
- Analysis skills
- Bachelor's degree
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CDQ Developer
Rupa Career Solutions —Remote
- ₹14,211.44 - ₹65,120.04 a month
- Full-time
- Remote
- Azure
- Computer Science
- Databases
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9h
Senior Integration Software Developer
Learntastic —Remote
- Full-time
- Remote
- Computer Science
- Salesforce
- ERP systems
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QA Tester – AI Observability & Monitoring

TestUnity
Remote

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Job details

Contractual / Temporary
₹1,000 - ₹1,200 an hour
6 hours ago

Qualifications

BCS
Law
Computer Science
Test automation
Master's degree
SQL
Bachelor's degree
APIs
Data science
AI
Python
Data Science
SDLC

Full job description

Job Title: QA Tester – AI Observability & Monitoring
Duration: 6 Months Contract with a possibility for an extension
Location: Offshore - India / 100% Remote

Rate: INR 1200 per hour

Experience Required: 8+ years in QA and at least 2 years in AI ML related projects. Should have Observability and Monitoring experience.

Role Overview:
We are seeking a QA Tester specializing in AI Observability and Monitoring to support the validation and continuous monitoring of AI/ML solutions in a regulated enterprise environment.
This role will focus on ensuring that AI systems are traceable, explainable, and continuously performing as expected by validating observability frameworks, monitoring pipelines, and model performance metrics. The candidate will work closely with AI engineers, data scientists, and validation teams to ensure AI solutions meet quality, compliance, and audit readiness standards.

Key Responsibilities
1. AI Observability Validation

Validate observability instrumentation across AI systems, including:
Input/output tracing
Telemetry data (latency, token usage, cost, etc.)
Ensure all observability signals are captured, linked, and auditable
Verify traceability and explainability of model behaviour across workflows

2. AI Model Monitoring & Drift Testing

Validate monitoring frameworks for:
Model performance (accuracy, confidence, consistency)
Drift detection and threshold-based alerts
Test alerting mechanisms and escalation workflows for:
Performance degradation
Anomalous outputs
Support continuous monitoring validation in production environments

3. AI Behavior & Functional Testing

Design and execute test scenarios covering:
Edge cases and ambiguous inputs
Prompt variations and response consistency
Bias and fairness validation
Validate model outputs against expected results and SME benchmarks
Perform comparative validation (AI vs. baseline/manual outputs)

4. Observability Tools & Integration Testing

Test integration between AI applications and observability tools (e.g., Langfuse or similar platforms)
Validate data pipelines feeding observability dashboards and KPI metrics
Ensure end-to-end visibility across AI lifecycle (development → QA → production)

5. Non-Functional & System Quality Testing

Validate non-functional requirements including:
Performance and latency
Reliability and resilience
Logging and auditability
Ensure monitoring coverage aligns with enterprise quality and governance standards

6. Audit, Compliance & Documentation

Maintain audit-ready documentation for:
Test cases, execution results, and validation evidence
Ensure alignment with:
SDLC validation processes
AI governance and compliance requirements
Support inspection readiness and audit responses as needed

Required Qualifications

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field
3–7 years of experience in QA / Testing / Validation
Experience working with AI/ML systems or data-driven applications
Exposure to monitoring systems, logging frameworks, or observability platforms

Technical Skills

Strong understanding of:
AI/ML concepts (LLMs, model behavior, drift, evaluation metrics)
Experience with:
API testing and backend validation
SQL / data validation techniques
Familiarity with:
Observability tools (e.g., Langfuse, logging/monitoring platforms)
Test management tools (e.g., QTest, ALM tools)

QA & Validation Skills

Experience designing:
Functional and non-functional test scenarios
Edge case and negative testing scenarios
Understanding of:
Test automation concepts (Python preferred)
End-to-end validation lifecycle

Preferred Qualifications

Experience in GenAI / LLM testing
Knowledge of:
Prompt engineering and evaluation methods
Familiarity with:
GxP / regulated industry environments
AI governance, explainability, and Responsible AI frameworks

Pay: ₹1,000.00 - ₹1,200.00 per hour

Work Location: Remote

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