We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors. This is a remote position. We are seeking a highly skilled and innovative ...
We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors. This is a remote position. We are seeking a highly skilled and innovative ...
Remote Manual Tester information
See Baton Rouge, LA salary details
$9.93 - $14.33
4% of jobs
$14.33 - $18.74
0% of jobs
$18.74 - $23.15
0% of jobs
$23.15 - $27.55
4% of jobs
$27.55 - $31.96
14% of jobs
$33.06 is the 25th percentile. Wages below this are outliers.
$31.96 - $36.37
11% of jobs
The median wage is $40.51 / hr.
$36.37 - $40.77
18% of jobs
$40.77 - $45.18
17% of jobs
$46.77 is the 75th percentile. Wages above this are outliers.
$45.18 - $49.59
19% of jobs
$49.59 - $53.99
9% of jobs
$53.99 - $58.40
4% of jobs
$9
$40
$58
How much do remote manual tester jobs pay per hour?
As of Aug 6, 2026, the average hourly pay for remote manual tester in Baton Rouge, LA is $40.24, according to ZipRecruiter salary data. Most workers in this role earn between $32.31 and $46.88 per hour, depending on experience, location, and employer.
What is the difference between Remote Manual Tester vs Remote Automation Tester?
| Aspect | Remote Manual Tester | Remote Automation Tester |
|---|---|---|
| Required Skills | Test case execution, defect reporting, basic scripting | Scripting, test automation tools, programming languages |
| Certifications | ISTQB, CSQA often preferred | ISTQB, Certified Automation Tester certifications |
| Work Environment | Primarily manual testing, test case documentation | Developing and maintaining automated test scripts |
| Industry Usage | Software development, QA teams | Software development, QA automation teams |
Remote Manual Testers focus on executing test cases and identifying bugs manually, while Remote Automation Testers develop scripts to automate testing processes. Both roles require similar certifications and work in software QA environments, but differ mainly in technical skills and automation responsibilities.
What is a remote manual tester?
A Remote Manual Tester is a quality assurance professional who tests software applications manually (without automation tools) from a remote location. Their main responsibilities include executing test cases, identifying bugs, and reporting issues to ensure software meets the required standards. They collaborate with development teams online and use various tools to document and track defects. This role requires attention to detail, strong analytical skills, and the ability to communicate findings effectively. Working remotely allows them to perform these tasks from anywhere, providing flexibility for both employees and employers.
What does a remote manual tester do?
As a remote manual tester, your duties are to test software for bugs, user difficulties, or other technical issues. Typically, your responsibilities are to follow a specific test plan or guidance plan from a QA tester or other software engineer to ensure that the different features of a new version of an application or program work according to specifications. Manual testers are needed to ensure there are no issues before they have launched the software. Since you work from home, you need to make sure you are in close communication with the QA department to report any findings.
What are some common challenges faced by remote manual testers and how can they be overcome?
Remote manual testers often encounter challenges such as communication gaps with development teams, managing time zone differences, and accessing test environments securely. To overcome these, it's important to establish clear communication channels, use collaborative tools for bug tracking and reporting, and coordinate testing schedules with the team. Additionally, ensuring stable internet connectivity and having secure access to testing platforms helps maintain productivity and data integrity.
What are the key skills and qualifications needed to thrive as a remote manual tester, and why are they important?
To thrive as a Remote Manual Tester, you need a solid understanding of software testing principles, attention to detail, and experience with test case creation and execution, often supported by a degree in computer science or a related field. Familiarity with bug tracking systems like Jira, test management tools such as TestRail, and knowledge of various operating systems and browsers is typically required. Strong communication, self-motivation, and problem-solving skills help you collaborate effectively and manage tasks independently in a remote environment. These competencies ensure accurate defect identification, thorough test coverage, and efficient teamwork, all crucial for delivering high-quality software products.
More about Remote Manual Tester jobs
What are the most commonly searched types of Manual Tester jobs in Baton Rouge, LA? The most popular types of Manual Tester jobs in Baton Rouge, LA are:
What are popular job titles related to Remote Manual Tester jobs in Baton Rouge, LA? For Remote Manual Tester jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Remote Manual Tester jobs in Baton Rouge, LA look for? The top searched job categories for Remote Manual Tester jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Remote Manual Tester jobs? Cities near Baton Rouge, LA with the most Remote Manual Tester job openings:
Full-time
Re-posted 16 days ago
Job description
About Us
Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.
Job Description
This is a remote position.
We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.
Key Responsibilities:
Generative AI Model Implementation:
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Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
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Integrate pre-trained models or build custom models for specific use cases.
Automation Design and Development:
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Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.
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Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.
Data Management:
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Collect, preprocess, and analyze large datasets for training and validating AI models.
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Ensure data privacy and compliance with regulatory requirements during data handling.
System Integration:
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Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.
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Build and maintain pipelines for real-time AI inference and automation.
Monitoring and Optimization:
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Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.
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Optimize models and processes based on performance metrics and user feedback.
Research and Innovation:
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Stay updated with the latest advancements in Generative AI and automation technologies.
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Identify opportunities for implementing cutting-edge AI solutions to address business challenges.
Documentation and Collaboration:
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Document technical designs, workflows, and implementation strategies.
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Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
Required Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.
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Proficiency in designing and deploying machine learning models, particularly in Generative AI.
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Experience with automation tools (e.g., RPA, workflow orchestration tools).
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Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
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Solid understanding of data structures, algorithms, and software design principles.
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Strong analytical and problem-solving skills.
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Excellent communication and teamwork abilities.
Preferred Qualifications:
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Experience with NLP, image generation, or multimodal AI models.
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Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.
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Familiarity with prompt engineering and fine-tuning Generative AI models.
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Knowledge of MLOps practices for deploying and maintaining AI solutions.
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Previous experience in automation or workflow optimization projects.
Why Join Us?
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Work with cutting-edge Generative AI technologies.
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Collaborate with a team of forward-thinking innovators.
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Make a tangible impact on the future of automation and AI-driven processes.
If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020