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Degrading Jobs (NOW HIRING)

... degrading general performance. • Drive targeted improvements in coding, mathematics, and long-horizon reasoning through curated data strategies and training interventions. • Translate research ...

Design and execute comprehensive electrical test suites to validate that alternative components meet all functional| performance| and reliability requirements without degrading the host device. Hands ...

Evaluate integration strategies to ensure that systems align with existing operational baseline metrics and can be fully supported and sustained within the current infrastructure without degrading ...

Evaluate integration strategies to ensure that systems align with existing operational baseline metrics and can be fully supported and sustained within the current infrastructure without degrading ...

Evaluate integration strategies to ensure that systems align with existing operational baseline metrics and can be fully supported and sustained within the current infrastructure without degrading ...

Develop principled methods for sourcing, filtering, and weighting data to sharpen model capabilities without degrading general performance. * Capability Injection: Drive targeted improvements in ...

Refrains in any degrading or unprofessional conduct and maintains age-specific appropriateness with clients. * Able to lead by example in living a healthy lifestyle. * Provides general supervision ...

UI Developer(35648)

Phoenix, AZ

$49.75 - $64.50/hr

Methods to ensure browser & device compatibility Methods for degrading gracefully for older browsers and displays Methods to ensure accessibility Methods to optimize speed Additional Information ...

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Degrading information

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$14

$29

$45

How much do degrading jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for degrading in the United States is $29.73, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $34.38 per hour, depending on experience, location, and employer.

What are degrading jobs?

Degrading jobs refer to work roles or tasks that are considered to undermine a person's dignity, self-worth, or sense of value. These jobs may involve repetitive, menial, or unpleasant tasks, poor working conditions, or lack of respect from employers or society. Often, degrading jobs are characterized by low pay, little opportunity for advancement, and minimal recognition. While the definition can be subjective, such roles are typically associated with a lack of respect and poor treatment of workers.

What are the least desirable jobs?

Jobs considered least desirable often include roles with low pay, high physical or emotional demands, and limited advancement opportunities, such as certain manual labor, cleaning, or food service positions. These jobs may also involve irregular hours, safety risks, or minimal job security, making them less attractive to many workers.

What is degrading work?

Degrading work refers to jobs that involve humiliating, demeaning, or physically or emotionally harmful tasks, often with little regard for worker safety or dignity. Such roles may include manual labor in poor conditions or jobs that exploit vulnerable workers, and they typically require basic skills and adherence to safety regulations.

What is the most demeaning job?

The term 'degrading' can refer to jobs that involve low pay, poor working conditions, or limited respect, such as certain manual labor or service roles like cleaning or sanitation work. These jobs often require physical effort and may lack social prestige, but they are essential for society and can provide stable employment. The perception of demeaning work varies based on individual values and societal attitudes.

What are the key skills and qualifications needed to thrive as a Degrading, and why are they important?

I'm sorry, but 'Degrading' is not recognized as a real-world professional occupation, so I cannot provide a relevant response.

What are the top 10 unhappiest jobs?

Jobs with high physical demands, low pay, and limited advancement opportunities tend to be among the unhappiest. Roles such as fast food workers, telemarketers, and laborers often report low job satisfaction due to stress, repetitive tasks, and poor work conditions. Factors like long hours and lack of control can also contribute to employee unhappiness in various occupations.

What is the difference between Degrading vs Cleaning Technician?

AspectDegradingCleaning Technician
Required CredentialsTypically none or minimalHigh school diploma or equivalent, training certifications
Work EnvironmentIndustrial, waste management, or hazardous sitesCommercial, residential, or industrial cleaning sites
Employer & Industry UsageUsed in waste processing, environmental servicesUsed in janitorial, facility maintenance
Common Search & Comparison IntentUnderstanding job roles, responsibilities, or career pathsJob duties, qualifications, or career options

Degrading involves handling waste or hazardous materials, often requiring safety training but minimal formal credentials. Cleaning Technicians focus on cleaning and maintenance tasks, usually with specific certifications. While both roles are essential in facility management, they differ significantly in work environment and required skills.

More about Degrading jobs
Infographic showing various Degrading job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 87% Full Time, 7% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $61,829 per year, or $29.7 per hour.
Research, Mid-Training

Research, Mid-Training

Cognition

San Francisco, CA • On-site

Full-time

Posted 14 days ago


Job description

Job Summary:
Cognition is an applied AI lab focused on building end-to-end software agents. The role involves owning late-stage training decisions for AI models, emphasizing data quality, capability injection, and synthetic data research to enhance model performance.
Responsibilities:
• Design and iterate on high-quality data mixtures for late-stage and annealing training runs.
• Develop principled methods for sourcing, filtering, and weighting data to sharpen model capabilities without degrading general performance.
• Drive targeted improvements in coding, mathematics, and long-horizon reasoning through curated data strategies and training interventions.
• Translate research insights into measurable capability gains on our agents.
• Develop and evaluate synthetic data pipelines that generate training signal at scale.
• Understand the limits and failure modes of synthetic approaches and build methods that hold up in production training runs.
• Research and optimize multi-stage learning rate schedules, warmup strategies, and compute allocation across training phases.
• Understand how schedule choices interact with data distribution and model behavior.
• Research and implement methods for extending effective context length without degrading short-context performance.
• This includes positional encoding strategies, data construction, and targeted evaluation.
• Build evals that distinguish real capability improvements from benchmark overfitting.
• Close the loop between training decisions and what actually matters for Devin and our other systems in deployment.
• Measure how mid-training interventions scale with compute and data.
• Develop new approaches when existing methods hit ceilings; we expect both rigorous empiricism and original thinking.
Qualifications:
Required:
• Deep familiarity with the LLM training pipeline end to end: pre-training data, optimization, architecture, and how mid-training and post-training interact
• Hands-on experience with continual pre-training, annealing, or late-stage data mixing for large models
• Strong intuition for data quality: what makes a dataset useful for training, how to filter and curate at scale, and how data mix choices compound across evals
• Experience developing or evaluating synthetic data pipelines for capability improvement
• Proficiency in Python and deep learning frameworks (PyTorch); comfortable debugging distributed training at scale
• Strong fundamentals in optimization, statistics, and ML theory; able to distinguish real effects from noise, instability, and overfitting
• A track record of original contributions: publications, open-source impact, or internal results that moved a capability frontier
• Comfort operating in ambiguous, fast-moving environments where the problem definition is as important as the solution
• We care more about demonstrated capability than credentials. A PhD is one signal among many.
Company:
Cognition develops artificial intelligence systems for software engineering and code automation. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.