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Remote Quality Engineer Jobs in Dothan, AL (NOW HIRING)

This is a full-time 90% remote position, 10% to Brite's office in Reston VA. Key Responsibilities ... Demonstrated ability to produce high-quality technical documentation and research publications.

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

Remote Quality Engineer information

See Dothan, AL salary details

$40.9K

$76.4K

$108.2K

How much do remote quality engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote quality engineer in Dothan, AL is $76,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What does a typical workday look like for a Remote Quality Engineer?

A typical day for a Remote Quality Engineer involves reviewing requirements, designing and executing test cases, logging defects, and collaborating with developers and product managers via virtual meetings and online tools. You may also spend time analyzing test results, automating repetitive tests, and verifying bug fixes in different environments. Communication is key, so regular updates and status reports are often shared through team platforms like Slack or Jira. This role is dynamic and may require adapting to evolving project priorities while maintaining high-quality deliverables.

How to make 70000 a year from home?

A Remote Quality Engineer can earn $70,000 annually by gaining relevant skills in testing, automation tools, and quality assurance processes, often requiring a bachelor's degree in a related field. Building experience, obtaining certifications like ISTQB, and working for companies that offer remote positions can help achieve this salary level. Consistent performance and strong communication skills are also important for remote roles at this pay scale.

What are the key skills and qualifications needed to thrive in the Remote Quality Engineer position, and why are they important?

To thrive as a Remote Quality Engineer, you need a solid background in quality assurance principles, software testing methodologies, and a relevant engineering or computer science degree. Familiarity with automated testing frameworks (like Selenium or JUnit), defect tracking systems, and certifications such as ISTQB or Six Sigma are often expected. Exceptional problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills set top candidates apart. These capabilities are vital for maintaining product quality, collaborating across distributed teams, and ensuring continual process improvement from a distance.

What is a Remote Quality Engineer job?

A Remote Quality Engineer is responsible for ensuring the quality and reliability of products or services while working remotely. They develop and execute test plans, identify defects, and collaborate with development teams to improve processes. Their role may involve automation testing, performance testing, or software validation, depending on the industry. Strong analytical skills, attention to detail, and knowledge of quality assurance methodologies are essential.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes base salary, bonuses, stock options, or profit sharing, particularly in large tech companies or startups with significant growth potential.

Is QA Engineer still in demand?

Yes, QA Engineers remain in demand as companies prioritize software quality and user experience. The role often involves automation tools like Selenium and requires skills in testing methodologies, making it a stable career choice in the tech industry.

Can a QA engineer work remotely?

Yes, many QA engineers work remotely, especially in roles focused on manual testing, automation, and using tools like Selenium or JIRA. Remote work arrangements depend on the employer's policies and the nature of the testing tasks, but it is common in the industry for QA engineers to perform their duties from home or other remote locations.
What are the most commonly searched types of Quality Engineer jobs in Dothan, AL? The most popular types of Quality Engineer jobs in Dothan, AL are:
What cities near Dothan, AL are hiring for Remote Quality Engineer jobs? Cities near Dothan, AL with the most Remote Quality Engineer job openings:
Infographic showing various Remote Quality Engineer job openings in Dothan, AL as of July 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $76,398 per year, or $36.7 per hour.
Senior Data Scientist

Senior Data Scientist

IQUASAR LLC

Fort Novosel, AL • Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 19 days ago


Job description

iQuasar is seeking to fill in a Data Scientist in Reston, VA. At iQuasar we strive to provide the next generation of cutting-edge technologies. Our growth means exciting career opportunities for talented professionals in engineering, software development, and other key areas. We offer competitive compensation and benefits including Health, Vision, and Dental Insurance, matching 401k plan, and other benefits given below, excellent training, and a vibrant working environment. Our employees are exceptional, giving us a competitive advantage by innovating solutions with a strong sense of mission and integrity.
One of our clients in Reston, VA needs a Data Scientist for a permanent position.
  • Position: Data Scientist
  • Clearance: Secret Clearance
  • Location: Reston, VA
  • Position Type: Full Time
Task Description:

This is a full-time 90% remote position, 10% to Brite's office in Reston VA.
Key Responsibilities:

  • Lead development of predictive models using deep learning and classical machine learning algorithms.
  • Build and optimize NLP models leveraging transformer-based architectures (e.g., BERT, GPT).
  • Design and implement Retrieval-Augmented Generation (RAG) approaches for LLM-based applications.
  • Work with vector databases and graph databases for knowledge representation and retrieval.
  • Generate and use simulated data to support training and testing of ML models.
  • Perform data standardization, aggregation, and integration from structured and unstructured sources.
  • Collaborate with cross-functional teams to understand business needs and translate them into ML solutions.
  • Document workflows, produce technical reports, and contribute to academic or industry publications.
  • Use version control tools to manage collaborative model development (e.g., GitHub).
  • Support end-to-end ML lifecycle from data wrangling and modeling to deployment and monitoring.

Required Qualifications:

  • Minimum 8 years of hands-on experience in AI/ML software development using Python and R.
  • Strong background in deep learning, transformer-based NLP, and classical ML.
  • Experience with RAG, LLMs, and embedding-based retrieval systems.
  • Expertise in data wrangling, Web scrapping, data standardization, and feature engineering.
  • Proven experience working with vector databases (e.g., FAISS, Pinecone, Weaviate) or graph databases (e.g., Neo4j).
  • Strong understanding of ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Familiarity with version control systems (e.g., Git, GitHub).
  • Experience with cloud computing platforms (AWS, GCP, or Azure).
  • Demonstrated ability to produce high-quality technical documentation and research publications.
  • Masters degree or Ph.D. in Statistics, Computer Science, or a related quantitative discipline.

Preferred Qualifications:

  • Hands-on experience with SAS, SQL, Amazon RDS, and JIRA.
  • Knowledge of ML Ops practices and model deployment pipelines.
  • Prior experience in contributing to academic or technical publications.
  • Exposure to federal or enterprise-scale projects is a plus.

If you are interested in this position, please send me a copy of your latest resume. Also, please let me know what time/number is best to call to discuss this great opportunity. In case you are not interested in this position, or this is not the right fit for you, please feel free to share this opportunity with your friends/networks or anyone you know who may be interested in this position. Thank you!
  • Availability to start a new job
  • Best Rates
  • Contact

Nia
Recruitment Professional
Representing: Brite Group INC
Direct: (703) 463-9141
Main: (703) 962-6001 Ext.: 621
nia.manzoor@iquasar.com
An Equal Opportunity Employer
"iQuasar is proud to be an Equal Employment Opportunity Employer. We do not discriminate based on race, religion, color, national origin, political affiliation, sex, sexual orientation, gender identity, age, marital/parental /veteran status, disability, genetic information, membership in an employee organization, retaliation, military service, other non-merit factors, or any other applicable characteristics protected by law"

This is a remote position.